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Digital Transformation Through Drones and LiDAR: Revolutionizing the Grand Canyon National Park Water System Project

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Description

This case study will explore the first-ever commercial drone operations permitted within the rim of the Grand Canyon, and how the imagery captured was used to inform a critical water infrastructure project. Grand Canyon National Park, in Northern Arizona, is considered one of the seven natural wonders of the world. It encompasses an impressive 278 miles of the Colorado River and adjacent uplands and averages more than 10 miles wide. To support work to modernize the Grand Canyon Water System—which serves thousands of residents and millions of annual visitors—we used drones, surveying, and LiDAR technology to acquire high-resolution orthomosaic images and point clouds. In this digital transformation success story, we also employed Autodesk tools such as AutoCAD Civil, ReCap, Revit, and other Autodesk products.

Key Learnings

  • Explore how drones, LiDAR, and survey data can set your projects apart and be a foundational piece in digital transformation.
  • Learn how to get drones approved for project areas that are typically restricted by the FAA.
  • Learn how to apply drone, LiDAR, and survey data in design environments like AutoCAD Civil, ReCap, and Revit.

Speaker

  • Carlos Femmer
    Carlos holds the position of Director of Data Acquisition at HDR, overseeing the company's data acquisition and unmanned aircraft system (UAS) initiatives across various market sectors. Before his role at HDR, Carlos held several leadership positions at John Chance Land Surveys, Inc. (FUGRO), including VP, COO, and President. There, he managed numerous aspects of the company's growth, innovation, and strategic direction, particularly within their land survey and airborne units. Carlos played a pivotal role in establishing a drone program for the Navy's survey division, encompassing everything from SOP creation, registration within the Department of Defense, drone procurement, to executing pilot projects and providing hands-on training. Notably, Carlos made history as the first commercial drone pilot to inspect the Golden Gate Bridge and was among the pioneers in conducting the first commercial drone missions in the Grand Canyon. Carlos holds a bachelor's degree in management information systems from the University of Massachusetts and a master in business administration from E.J. Ourso School of Business from Louisiana State University. He is also a graduate of the Fugro Academy Executive/Leadership Development Program in the Netherlands. In addition, he served on the boards of the Louisiana Oil and Gas Association and the Interstate Natural Gas Association of America. He has also served on the Dean's Advisory Council at LSU.
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      Transcript

      CARLOS FEMMER: Good afternoon. Welcome to the Digital Transformation Through Drones and LiDAR-- Revolutionizing the Grand Canyon National Park Water system. My name is Carlos Femmer. I'm the director of data acquisition with HDR engineering. We're a large engineering firm based-- headquartered out of Omaha, Nebraska. And we're going to jump right into the presentation.

      So going back 20-plus years, within the Grand Canyon-- had the opportunity at the time in 2003, where we did a survey within the Grand Canyon. Technology at the time was a helicopter system to fly below the rim. And using survey equipment with GPS, you're able-- and LiDAR, you're able to accomplish the capture throughout.

      Fast-forward to 2022, we had the opportunity to collect data within the Grand Canyon, similar component below the rim. And in this case, technology is changing fast. So fast-forward 20 years, and using drones tied to GPS with specific payloads, we're able to capture a good bit of data. And we're going to talk about that through the project.

      So today's agenda-- we're going to look at the project overview and data collection goals. We're going to look at authorizations and approvals, go through flight planning and execution. We're going to look at products delivered and summarize it with some final thoughts.

      So project overview and data collection goals-- so we are fortunate to be working with the National Park System to design a replacement for a 50-plus-year-old trans-canyon water line and related utility projects. So goals of the project were to reduce costs by enhancing site understanding, improve contractor safety by assessing hazards. We want to visually assess compliance requirements, provide documentation of preproject conditions, and to visually inspect power infrastructure condition, amongst other goals as well.

      Looking at the authorizations and approvals, the Department of Interior with respect to authorizations-- the reality is within the Grand Canyon National Park, there-- it's a no-drone zone. So in order to fly and have it approved, we had to go through and obtain DOI authorization. It preceded the National Park Service approval via their NPS aviation manual, Appendix RM-60. We assisted the park with completing the DOI, or designated UAS assessment guide, selecting equipment not manufactured or covered by a foreign entity. We also prepared concept-level flight plans to define project area and initiate compliance.

      Part of the forms are-- we're looking at the Block 2 authorizations for safety and preservation of physical property as a core component. We had a National Defense Authorization Act-approved drone also that's on the blue list. So we selected equipment as part of the Blue sUAS. Cyber mitigation plan, work-- previous work with similar requirements-- and then, again, that's, at a minimum, NDAA-compliant.

      Looking at the overall project, it was a complicated project. So we had different areas, a pretty large swath on the North Rim, a power line between the North Rim and the inner canyon, and a large component within the inner canyon, as well, as you can see from the flight plan here. So we provided detailed information of flight paths and visual observer positions, which encompassed the flight durations. We provided equipment noise levels. US Fish and Wildlife was also consulted. Their advice was to assign a wildlife biologist. There's endangered condors in the Grand Canyon we wanted to be aware of and to ensure that the drones weren't flying anywhere near them. We also had a NPS Park-certified UAS commercial pilot. And then we had a park superintendent approval, which was a wilderness minimum tool assessment as well.

      So long story short, the planning process required a SGI COA from the FAA. We also have the appropriate permission from the National Park, Department of Interior. And we'll get into some of the details of why this was an appropriate tool for the project.

      Looking at the equipment selection, we utilize two drones. One was a Skydio X2 Delta. This is an NDAA-compliant and Blue drone equipped with AES-128 wireless encryption, has a 16 digital zoom camera, a 4K video. We also had a WingtraOne Gen 2, Blue sUAS, also NDAA-compliant. It's a vertical takeoff and landing. We're going to talk about what-- why that was important for the project. It was equipped with PPK. And the payload was a 42-megapixel Sony A7r camera.

      So on the flight plan development document PIC, or pilot in command and visual observer personnel qualifications, we established deconfliction procedures with manned aircraft, people, and wildlife, emergency communications, established safety procedures for our standard operation communications, National Park Service briefings and JHAs. We also produced a number of flight risk assessments.

      And then on the desktop planning and modeling, launch points were identified and recovery points. Also, emergency areas in case something were to happen. Program the flight path, identify the known hazards, define responsibilities, establish procedures for fly away, provide supplemental flight documents, and then lastly, implement considerations from Wingtra's pilot as well.

      On the preflight coordination, helibase coordination, review flight plan and discuss experience best practices from previous projects, site logistics. That's because we had a lot of equipment that had to be ferried in. So we had a helicopter manifest, equipment, helibase briefings pre and post, launch site coordination. So we localize flight plans, direct wildlife monitor and trail guards, and position visual observers up and downstream to ensure we always have visual line of sight on the drones.

      Looking at the details, total areas covered were about 1,000 acres. Flight hours was roughly eight hours. We deployed two drones. With the Skydio, we had four inspection areas. With a Wingtra, we had four mapping areas. And like we said before, visual observers placed up and downstreams. We had the wildlife monitor looking for condor activity.

      And then after each deployment, we would debrief with the NPS staff, talking about communication, radio, and communications that were ongoing. And then flexibility, so if there were any particular emergencies, we would ground the flights and we ensure that we stayed safe throughout the mission.

      So looking at it, as we brought the equipment on board, or we had to bring the equipment onto the project site, this required bringing a large number of equipment into the canyon, into the inner canyon. And we took off and landed from-- here's a picture and a video of the helipad. And this is the drone taking off.

      This is the case where we would take off. It takes off vertically, turned into a fixed wing. There's another video that show that. And then here's a picture of the Skydio that we use for some of the deliverables as we left the project site, packaged up all of our equipment, and was able to come out of the canyon safely and for a successful mission.

      So here, this is going to show kind of a take off. And why this is important is we have a small footprint to take off. As you can see, the inner canyon is a canyon, so the Grand Canyon. So as it comes up, we directed what altitude to transition. So now we transition to a fixed wing aircraft. Then we loiter up into an appropriate altitude.

      And once we're on the altitude of-- that we need it to fly and execute the mission, we would go throughout and capture that. Because the GPS is on the drone, this is pretty important because GPS works off of satellites. And what's important to note here is, as we're landing and coming down, where it takes off with, it thinks it knows where the position is.

      And because we're occluded by some of the hillside, what you'll notice here is, even though we took off from the center of the helipad, it thought that it took off 15 feet away. So we were able to have control of that aircraft. As you see here, we paused it. We moved it back into a safe position to land and maneuvered it manually. And then we brought it down. So just being very familiar with how survey technology works, how drones work, and the like, enabled us to go and execute these safe missions in a complex environment.

      So looking-- fast-forwarding to products delivered, we deliver virtual site videos, 4K video, and flythroughs, interactive digital twin for 3D models of project areas, produced a high-resolution orthomosaic imagery, inspection photos and videos of the power poles and other assets.

      We collected terrestrial LiDAR data, high-density 3D point cloud data, and 360 imagery for different pumphouses and water treatment plants. Lastly, been aggregating all the engineering data, so 3D point cloud, DTM/DEM data, aerial imagery. It was completely integrated into a single CAD/BIM environment. And then we also leveraged Revit and Navisworks.

      So first product was a virtual site visit. So this isn't the whole video. As you can see, this was captured with a Skydio drone, but this was basically a virtual site visit. The ability to produce a video of the entire route and have one single source of truth of, here's the environment. This was disseminated with a bid package, but this is from a safety element too.

      It is a little choppy, but this is just because we fast-forwarded it to it-- of the video for in the interest of time. But because the GPS is on board the drone, you can see the red is kind of like a map to show where you're at within the project site. And then key areas that needed to be highlighted throughout were identified.

      And this was coordinated with the NPS. And it's collaborative access to project review areas, reduce exposures to terrain temperatures. I think when we were down there in the summer, the temperatures in the inner canyon were roughly 115 degrees plus. So imagine having to do walkthroughs with a number of folks. It just reduces the exposure to more people.

      It's additional context for subject matter experts to produce budget and reduces change order throughout project lifecycle, so being able to see everything in one go. From an interactive digital twin, a web-based interactive access for key stakeholders, 3D visualization provides context for engineering, environmental, and constructability. You could do in-app measurements and then toggle 3D visuals for pipeline alignment.

      So here's a case where you have the entire water pipeline overlaid with the digital twin. And being able to see where these water assets are within the environment was important to capture, and take measurements, and bring everybody to the site. Here's another case where we did a digital twin of the actual pump house. And creating a reality mesh of this was important to do as well.

      On the orthomosaic imagery, another benefit from the Wingtra captures is you get updated imagery of the entire project area tied to precise location data within six inches, utilized for engineering, inspection, geotechnical, environmental, and constructability. And then we also developed a web map service to consume in numerous products.

      Big takeaway here is existing imagery from Google Earth and other data sets in the inner canyon. The picture on the right is what was available public and to the project team. And as you can see on the left, what the drones able to give you is high-resolution imagery. So it's just a night and day.

      Here's another case where we have inspection visuals. So we have close range, high-resolution photos to assist in the inspection process. It is a challenging environment. So on the left side, here's a case where the closest you're going to get to it is from the ground level. And that's your perspective.

      On the right, we took 300 photos per pole. So being able to see this in high fidelity, different angles of different views, I'm not limited like I am on the left. I can get up from the perspective, and see the top, and really look at the data. The other thing is this particular drone, because it flies on vision, you're not susceptible to magnetometer data, or mag data, like you are on other platforms.

      So in this case, we're able to get pretty close safely with an energized asset and have confidence that it's going to fly safely and capture the required data. So it informs in-person inspection planning and enhanced accessibility to this challenging asset. In addition to pitchers, we're able to get high-resolution photos. So, again, being able to get at the unique perspective and get a high-resolution 4K video in addition to the pictures was also critical for the inspection process as well.

      And this kind of gives you a perspective of looking from the interproximal canyon to the rim. That was from top-down. There are two benches, we call it. And then this is from the top looking down. So from bottom-up, you're going to-- it goes to one bench, which is located over here, then it goes to another bench, then it goes into the inner canyon. So it's almost a mile up from the inner canyon. So it's complicated terrain, and you want to use the appropriate tools for the project.

      The terrestrial LiDAR was another component, where we wanted to capture the pump house and we also wanted to capture the water treatment plant. We're not going to show one area, but just for showing this particular example, where if you have something that doesn't have a lot of drawings or existing drawings, we're able to now model from the LiDAR.

      So we're able to come in quickly, capture the data, and then produce this off premise. So it enhances visual understanding of as-built conditions. We have better design and integration of existing systems. We can overlay all of the information into it. Here we can export into Navisworks and then have a dissemination tool. So from the LiDAR, we can model the structural, architectural. We can model the MEP. So this would be kind of the mechanical pipes that you see here. And we utilize AutoCAD ReCap and Revit to produce the BIM models.

      The other thing is, just bringing out-- showing this in Revit as well-- and I'll fast forward it a little bit in the interest of time. But in addition to modeling everything and getting the information, once you export this into Navisworks, it makes it shareable. But you could also slice and dice in this tool as well. So not only can you cut through walls and everything else, but once you overlay and enable the point cloud, you can also create a cut of profile.

      So here I'm taking from the north to south, and I'm now expanding and dropping it. And we can see-- remove the roof and access inside of the building. And this allows us to access the information. And this is all done through Autodesk-- in this case, Navisworks, where we produced it in Revit and we exported it for the team to interact with. Here we're cutting a section from the side. So, again, just the ability to slice and dice, that's how we're able to get to the specific assets we want to model.

      And the overall LiDAR data was millimeter accuracy. We have the actual registration report. But, again, being able to get high-fidelity data, we got it captured in the field, but this was all modeled offsite from our office, gives you that flexibility to blend the information all together. So now we have the reality mesh from the drones. We have the internal scans from the LiDAR data. And we're able to blend all of that into one holistic environment.

      So in addition, aggregating the engineering data, so expanding site context beyond existing survey corridor, control and manage one layer versus thousands of photos, view existing survey data. And then it also provides less downtime, enabling more creative design and more design iterations. So we had survey data already that was done conventionally, which you see in green.

      But having the drone data really allows us to QC the data that was already existing. But we're able to provide contours, which is what you're seeing in the red and white beyond the area that was conventionally surveyed. So it provides that additional site context beyond the existing survey corridor.

      Taking that imagery, now we're inside of Civil 3D. Again, we're looking at the survey data. The imagery is difficult to work with. So we took all of that imagery, loaded it into an image server, exposed it as a WMS. So in this case, there's no images that are loaded inside of AutoCAD at all. We wrapped the imagery behind a web mapping service, and now we have the high-resolution photos that pyramided and tiled. And that's why we're able to get the speed and performance.

      So that image service is able to be consumed by AutoCAD Civil, by Esri, by MicroStation. And, again, all of this is just via one web mapping service. So no data is incorporated as streamed. Once you zoom in to your resolution, it will load the full fidelity data that you're looking at.

      And the speed and performance, we've been very impressed with. So looking at new ways to disseminate drone data, high-resolution imagery, and other type of data sets, AutoCAD has the infrastructure to incorporate and read in these type of services to make the best use of the data.

      So moving forward, kind of looking at final thoughts. Safety first. It's an unforgiving environment, especially in the summer months. So being able to come out there and collect all this information and reduce people go on-- going out in the field and looking at the site, it offers a safe environment.

      The cost savings of collecting the data once and having multiple uses. And then lastly, having precise data between the drones and the terrestrial data, and then having it with Civil 3D, the Revit models, having it all blended together, having precise data to make engineering decisions. One example is when you have all this information in the past, if you had just enough information for your designs, you might be able to go through a couple iterations with the time allotted for the project.

      Because we had extended context and data at your fingertips, and we're able to now stream the imagery and others, we're able to do more iterative designs for the same cost. So what you end up with is a better product because it's gone through more iterations. So we're pleased with how things are coming together across from the project teams that have been using it. And this was a good success story. We do want to thank the National Park Service for demonstrating creativity and collaboration throughout the project.

      In proposing some tools like this and having the National Park understand the safety components of it and whatnot, just super thankful to the NPS and the entire project team for a job well done. And, yeah, we're excited about the overall project and how things have been put together. And in summary, thank you guys for joining the presentation. And my information was on the first slide. So if there's any questions, please feel free to reach out.

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      We use AdWords to deploy digital advertising on sites supported by AdWords. Ads are based on both AdWords data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AdWords has collected from you. We use the data that we provide to AdWords to better customize your digital advertising experience and present you with more relevant ads. AdWords Privacy Policy
      Marketo
      We use Marketo to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. We may combine this data with data collected from other sources to offer you improved sales or customer service experiences, as well as more relevant content based on advanced analytics processing. Marketo Privacy Policy
      Doubleclick
      We use Doubleclick to deploy digital advertising on sites supported by Doubleclick. Ads are based on both Doubleclick data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Doubleclick has collected from you. We use the data that we provide to Doubleclick to better customize your digital advertising experience and present you with more relevant ads. Doubleclick Privacy Policy
      HubSpot
      We use HubSpot to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. HubSpot Privacy Policy
      Twitter
      We use Twitter to deploy digital advertising on sites supported by Twitter. Ads are based on both Twitter data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Twitter has collected from you. We use the data that we provide to Twitter to better customize your digital advertising experience and present you with more relevant ads. Twitter Privacy Policy
      Facebook
      We use Facebook to deploy digital advertising on sites supported by Facebook. Ads are based on both Facebook data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Facebook has collected from you. We use the data that we provide to Facebook to better customize your digital advertising experience and present you with more relevant ads. Facebook Privacy Policy
      LinkedIn
      We use LinkedIn to deploy digital advertising on sites supported by LinkedIn. Ads are based on both LinkedIn data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that LinkedIn has collected from you. We use the data that we provide to LinkedIn to better customize your digital advertising experience and present you with more relevant ads. LinkedIn Privacy Policy
      Yahoo! Japan
      We use Yahoo! Japan to deploy digital advertising on sites supported by Yahoo! Japan. Ads are based on both Yahoo! Japan data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Yahoo! Japan has collected from you. We use the data that we provide to Yahoo! Japan to better customize your digital advertising experience and present you with more relevant ads. Yahoo! Japan Privacy Policy
      Naver
      We use Naver to deploy digital advertising on sites supported by Naver. Ads are based on both Naver data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Naver has collected from you. We use the data that we provide to Naver to better customize your digital advertising experience and present you with more relevant ads. Naver Privacy Policy
      Quantcast
      We use Quantcast to deploy digital advertising on sites supported by Quantcast. Ads are based on both Quantcast data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Quantcast has collected from you. We use the data that we provide to Quantcast to better customize your digital advertising experience and present you with more relevant ads. Quantcast Privacy Policy
      Call Tracking
      We use Call Tracking to provide customized phone numbers for our campaigns. This gives you faster access to our agents and helps us more accurately evaluate our performance. We may collect data about your behavior on our sites based on the phone number provided. Call Tracking Privacy Policy
      Wunderkind
      We use Wunderkind to deploy digital advertising on sites supported by Wunderkind. Ads are based on both Wunderkind data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Wunderkind has collected from you. We use the data that we provide to Wunderkind to better customize your digital advertising experience and present you with more relevant ads. Wunderkind Privacy Policy
      ADC Media
      We use ADC Media to deploy digital advertising on sites supported by ADC Media. Ads are based on both ADC Media data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that ADC Media has collected from you. We use the data that we provide to ADC Media to better customize your digital advertising experience and present you with more relevant ads. ADC Media Privacy Policy
      AgrantSEM
      We use AgrantSEM to deploy digital advertising on sites supported by AgrantSEM. Ads are based on both AgrantSEM data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AgrantSEM has collected from you. We use the data that we provide to AgrantSEM to better customize your digital advertising experience and present you with more relevant ads. AgrantSEM Privacy Policy
      Bidtellect
      We use Bidtellect to deploy digital advertising on sites supported by Bidtellect. Ads are based on both Bidtellect data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bidtellect has collected from you. We use the data that we provide to Bidtellect to better customize your digital advertising experience and present you with more relevant ads. Bidtellect Privacy Policy
      Bing
      We use Bing to deploy digital advertising on sites supported by Bing. Ads are based on both Bing data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bing has collected from you. We use the data that we provide to Bing to better customize your digital advertising experience and present you with more relevant ads. Bing Privacy Policy
      G2Crowd
      We use G2Crowd to deploy digital advertising on sites supported by G2Crowd. Ads are based on both G2Crowd data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that G2Crowd has collected from you. We use the data that we provide to G2Crowd to better customize your digital advertising experience and present you with more relevant ads. G2Crowd Privacy Policy
      NMPI Display
      We use NMPI Display to deploy digital advertising on sites supported by NMPI Display. Ads are based on both NMPI Display data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that NMPI Display has collected from you. We use the data that we provide to NMPI Display to better customize your digital advertising experience and present you with more relevant ads. NMPI Display Privacy Policy
      VK
      We use VK to deploy digital advertising on sites supported by VK. Ads are based on both VK data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that VK has collected from you. We use the data that we provide to VK to better customize your digital advertising experience and present you with more relevant ads. VK Privacy Policy
      Adobe Target
      We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
      Google Analytics (Advertising)
      We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
      Trendkite
      We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
      Hotjar
      We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
      6 Sense
      We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
      Terminus
      We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
      StackAdapt
      We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
      The Trade Desk
      We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
      RollWorks
      We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

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      Your experience. Your choice.

      We care about your privacy. The data we collect helps us understand how you use our products, what information you might be interested in, and what we can improve to make your engagement with Autodesk more rewarding.

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      Explore the benefits of a customized experience by managing your privacy settings for this site or visit our Privacy Statement to learn more about your options.