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

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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.

主要学习内容

  • 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.

讲师

  • 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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我们通过 Commission Factory 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Commission Factory 隐私政策
Google Analytics (Strictly Necessary)
我们通过 Google Analytics (Strictly Necessary) 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Google Analytics (Strictly Necessary) 隐私政策
Typepad Stats
我们通过 Typepad Stats 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Typepad Stats 隐私政策
Geo Targetly
我们使用 Geo Targetly 将网站访问者引导至最合适的网页并/或根据他们的位置提供量身定制的内容。 Geo Targetly 使用网站访问者的 IP 地址确定访问者设备的大致位置。 这有助于确保访问者以其(最有可能的)本地语言浏览内容。Geo Targetly 隐私政策
SpeedCurve
我们使用 SpeedCurve 来监控和衡量您的网站体验的性能,具体因素为网页加载时间以及后续元素(如图像、脚本和文本)的响应能力。SpeedCurve 隐私政策
Qualified
Qualified is the Autodesk Live Chat agent platform. This platform provides services to allow our customers to communicate in real-time with Autodesk support. We may collect unique ID for specific browser sessions during a chat. Qualified Privacy Policy

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改善您的体验 – 使我们能够为您展示与您相关的内容

Google Optimize
我们通过 Google Optimize 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Google Optimize 隐私政策
ClickTale
我们通过 ClickTale 更好地了解您可能会在站点的哪些方面遇到困难。我们通过会话记录来帮助了解您与站点的交互方式,包括页面上的各种元素。将隐藏可能会识别个人身份的信息,而不会收集此信息。. ClickTale 隐私政策
OneSignal
我们通过 OneSignal 在 OneSignal 提供支持的站点上投放数字广告。根据 OneSignal 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 OneSignal 收集的与您相关的数据相整合。我们利用发送给 OneSignal 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. OneSignal 隐私政策
Optimizely
我们通过 Optimizely 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Optimizely 隐私政策
Amplitude
我们通过 Amplitude 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Amplitude 隐私政策
Snowplow
我们通过 Snowplow 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Snowplow 隐私政策
UserVoice
我们通过 UserVoice 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. UserVoice 隐私政策
Clearbit
Clearbit 允许实时数据扩充,为客户提供个性化且相关的体验。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。Clearbit 隐私政策
YouTube
YouTube 是一个视频共享平台,允许用户在我们的网站上查看和共享嵌入视频。YouTube 提供关于视频性能的观看指标。 YouTube 隐私政策

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定制您的广告 – 允许我们为您提供针对性的广告

Adobe Analytics
我们通过 Adobe Analytics 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Adobe Analytics 隐私政策
Google Analytics (Web Analytics)
我们通过 Google Analytics (Web Analytics) 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Google Analytics (Web Analytics) 隐私政策
AdWords
我们通过 AdWords 在 AdWords 提供支持的站点上投放数字广告。根据 AdWords 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 AdWords 收集的与您相关的数据相整合。我们利用发送给 AdWords 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. AdWords 隐私政策
Marketo
我们通过 Marketo 更及时地向您发送相关电子邮件内容。为此,我们收集与以下各项相关的数据:您的网络活动,您对我们所发送电子邮件的响应。收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、电子邮件打开率、单击的链接等。我们可能会将此数据与从其他信息源收集的数据相整合,以根据高级分析处理方法向您提供改进的销售体验或客户服务体验以及更相关的内容。. Marketo 隐私政策
Doubleclick
我们通过 Doubleclick 在 Doubleclick 提供支持的站点上投放数字广告。根据 Doubleclick 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Doubleclick 收集的与您相关的数据相整合。我们利用发送给 Doubleclick 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Doubleclick 隐私政策
HubSpot
我们通过 HubSpot 更及时地向您发送相关电子邮件内容。为此,我们收集与以下各项相关的数据:您的网络活动,您对我们所发送电子邮件的响应。收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、电子邮件打开率、单击的链接等。. HubSpot 隐私政策
Twitter
我们通过 Twitter 在 Twitter 提供支持的站点上投放数字广告。根据 Twitter 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Twitter 收集的与您相关的数据相整合。我们利用发送给 Twitter 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Twitter 隐私政策
Facebook
我们通过 Facebook 在 Facebook 提供支持的站点上投放数字广告。根据 Facebook 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Facebook 收集的与您相关的数据相整合。我们利用发送给 Facebook 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Facebook 隐私政策
LinkedIn
我们通过 LinkedIn 在 LinkedIn 提供支持的站点上投放数字广告。根据 LinkedIn 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 LinkedIn 收集的与您相关的数据相整合。我们利用发送给 LinkedIn 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. LinkedIn 隐私政策
Yahoo! Japan
我们通过 Yahoo! Japan 在 Yahoo! Japan 提供支持的站点上投放数字广告。根据 Yahoo! Japan 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Yahoo! Japan 收集的与您相关的数据相整合。我们利用发送给 Yahoo! Japan 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Yahoo! Japan 隐私政策
Naver
我们通过 Naver 在 Naver 提供支持的站点上投放数字广告。根据 Naver 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Naver 收集的与您相关的数据相整合。我们利用发送给 Naver 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Naver 隐私政策
Quantcast
我们通过 Quantcast 在 Quantcast 提供支持的站点上投放数字广告。根据 Quantcast 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Quantcast 收集的与您相关的数据相整合。我们利用发送给 Quantcast 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Quantcast 隐私政策
Call Tracking
我们通过 Call Tracking 为推广活动提供专属的电话号码。从而,使您可以更快地联系我们的支持人员并帮助我们更精确地评估我们的表现。我们可能会通过提供的电话号码收集与您在站点中的活动相关的数据。. Call Tracking 隐私政策
Wunderkind
我们通过 Wunderkind 在 Wunderkind 提供支持的站点上投放数字广告。根据 Wunderkind 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Wunderkind 收集的与您相关的数据相整合。我们利用发送给 Wunderkind 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Wunderkind 隐私政策
ADC Media
我们通过 ADC Media 在 ADC Media 提供支持的站点上投放数字广告。根据 ADC Media 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 ADC Media 收集的与您相关的数据相整合。我们利用发送给 ADC Media 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. ADC Media 隐私政策
AgrantSEM
我们通过 AgrantSEM 在 AgrantSEM 提供支持的站点上投放数字广告。根据 AgrantSEM 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 AgrantSEM 收集的与您相关的数据相整合。我们利用发送给 AgrantSEM 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. AgrantSEM 隐私政策
Bidtellect
我们通过 Bidtellect 在 Bidtellect 提供支持的站点上投放数字广告。根据 Bidtellect 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Bidtellect 收集的与您相关的数据相整合。我们利用发送给 Bidtellect 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Bidtellect 隐私政策
Bing
我们通过 Bing 在 Bing 提供支持的站点上投放数字广告。根据 Bing 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Bing 收集的与您相关的数据相整合。我们利用发送给 Bing 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Bing 隐私政策
G2Crowd
我们通过 G2Crowd 在 G2Crowd 提供支持的站点上投放数字广告。根据 G2Crowd 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 G2Crowd 收集的与您相关的数据相整合。我们利用发送给 G2Crowd 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. G2Crowd 隐私政策
NMPI Display
我们通过 NMPI Display 在 NMPI Display 提供支持的站点上投放数字广告。根据 NMPI Display 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 NMPI Display 收集的与您相关的数据相整合。我们利用发送给 NMPI Display 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. NMPI Display 隐私政策
VK
我们通过 VK 在 VK 提供支持的站点上投放数字广告。根据 VK 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 VK 收集的与您相关的数据相整合。我们利用发送给 VK 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. VK 隐私政策
Adobe Target
我们通过 Adobe Target 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Adobe Target 隐私政策
Google Analytics (Advertising)
我们通过 Google Analytics (Advertising) 在 Google Analytics (Advertising) 提供支持的站点上投放数字广告。根据 Google Analytics (Advertising) 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Google Analytics (Advertising) 收集的与您相关的数据相整合。我们利用发送给 Google Analytics (Advertising) 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Google Analytics (Advertising) 隐私政策
Trendkite
我们通过 Trendkite 在 Trendkite 提供支持的站点上投放数字广告。根据 Trendkite 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Trendkite 收集的与您相关的数据相整合。我们利用发送给 Trendkite 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Trendkite 隐私政策
Hotjar
我们通过 Hotjar 在 Hotjar 提供支持的站点上投放数字广告。根据 Hotjar 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Hotjar 收集的与您相关的数据相整合。我们利用发送给 Hotjar 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Hotjar 隐私政策
6 Sense
我们通过 6 Sense 在 6 Sense 提供支持的站点上投放数字广告。根据 6 Sense 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 6 Sense 收集的与您相关的数据相整合。我们利用发送给 6 Sense 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. 6 Sense 隐私政策
Terminus
我们通过 Terminus 在 Terminus 提供支持的站点上投放数字广告。根据 Terminus 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Terminus 收集的与您相关的数据相整合。我们利用发送给 Terminus 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Terminus 隐私政策
StackAdapt
我们通过 StackAdapt 在 StackAdapt 提供支持的站点上投放数字广告。根据 StackAdapt 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 StackAdapt 收集的与您相关的数据相整合。我们利用发送给 StackAdapt 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. StackAdapt 隐私政策
The Trade Desk
我们通过 The Trade Desk 在 The Trade Desk 提供支持的站点上投放数字广告。根据 The Trade Desk 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 The Trade Desk 收集的与您相关的数据相整合。我们利用发送给 The Trade Desk 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. The Trade Desk 隐私政策
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

是否确定要简化联机体验?

我们希望您能够从我们这里获得良好体验。对于上一屏幕中的类别,如果选择“是”,我们将收集并使用您的数据以自定义您的体验并为您构建更好的应用程序。您可以访问我们的“隐私声明”,根据需要更改您的设置。

个性化您的体验,选择由您来做。

我们重视隐私权。我们收集的数据可以帮助我们了解您对我们产品的使用情况、您可能感兴趣的信息以及我们可以在哪些方面做出改善以使您与 Autodesk 的沟通更为顺畅。

我们是否可以收集并使用您的数据,从而为您打造个性化的体验?

通过管理您在此站点的隐私设置来了解个性化体验的好处,或访问我们的隐私声明详细了解您的可用选项。