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Abstract:

Its time to separate the signal from the noise when it comes to autonomous driving. And as self-driving trucks near commercial reality, the stakes are high for safe operation on our highways. Join Dr. Xiaodi Hou, Founder, President and CTO of TuSimple, the largest self-driving truck company worldwide, for a discussion of what it takes to design, test and deploy a fully autonomous truck. Dr. Hou will lay it on the line in terms of whats working and whats not in the design and testing of todays self-driving trucks.

Its time to separate the signal from the noise when it comes to autonomous driving. And as self-driving trucks near commercial reality, the stakes are high for safe operation on our highways. Join Dr. Xiaodi Hou, Founder, President and CTO of TuSimple, the largest self-driving truck company worldwide, for a discussion of what it takes to design, test and deploy a fully autonomous truck. Dr. Hou will lay it on the line in terms of whats working and whats not in the design and testing of todays self-driving trucks.

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Topics:
Autonomous Vehicles, Intelligent Machines, IoT & Robotics
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9555
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Abstract:
Overview of TuSimple's unique full vision-based autonomous driving solution with a case study of it's camera based perception solution. Deep dive into the hidden elements of autonomous truck system in terms of algorithm, big data and hardware. Plus, a look into the future of autonomous driving developments in sensors (Camera VS Lidar), redundant systems, and computational resources.
Overview of TuSimple's unique full vision-based autonomous driving solution with a case study of it's camera based perception solution. Deep dive into the hidden elements of autonomous truck system in terms of algorithm, big data and hardware. Plus, a look into the future of autonomous driving developments in sensors (Camera VS Lidar), redundant systems, and computational resources.  Back
 
Topics:
Autonomous Vehicles
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S81045
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Abstract:

We'll discuss AI developments within the last decade with the help of public academic benchmark. Xiaodi believes benchmarks like CityScapes and KITTI are helpful for the development of AI worldwide, however, these benchmarks have disadvantages in that there is a need to propose new datasets to incorporate more autonomous driving sections in computer vision benchmarks.

We'll discuss AI developments within the last decade with the help of public academic benchmark. Xiaodi believes benchmarks like CityScapes and KITTI are helpful for the development of AI worldwide, however, these benchmarks have disadvantages in that there is a need to propose new datasets to incorporate more autonomous driving sections in computer vision benchmarks.

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Topics:
Computer Vision, Artificial Intelligence and Deep Learning
Type:
Talk
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7787
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