Category Archives: Autonomous Vehicles

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Accelerating Autonomous Vehicle Safety

In the field of computer vision (CV), an ongoing challenge is to build systems that can extract meaningful information from images as humans do, like distinguishing a street sign from a stop sign, or identifying lane boundaries.   … Read more
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AI Predicts Future Lane Changes of Other Drivers

In work sponsored by Toyota, University of Michigan researchers developed a deep learning framework trained on GPUs to anticipate maneuvers of other highway vehicles up to three seconds into the future, such as performing left or right lane changes or staying in the same lan … Read more
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NVIDIA Looking For World’s Best AI Startup

At the 2018 GPU Technology Conference in San Jose on March 26-29, the NVIDIA Inception virtual accelerator program will host a $1 million competition to find this year’s best AI startup across three categories: Healthcare, Autonomous Systems, and Enterpris … Read more
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Fast INT8 Inference for Autonomous Vehicles with TensorRT 3

Autonomous driving demands safety, and a high-performance computing solution to process sensor data with extreme accuracy. Researchers and developers creating deep neural networks (DNNs) for self driving must optimize their networks to ensure low-latency inference and energy efficiency. Thanks to a new Python API in NVIDIA TensorRT, this process just became easier … Read more
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Training AI for Self-Driving Vehicles: The Challenge of Scale

Modern deep neural networks, such as those used in self-driving vehicles, require a mind boggling amount of computational power. Today a single computer, like NVIDIA DGX-1, can achieve computational performance on par with the world’s biggest supercomputers in the year 2010 (“Top 500”, 2010). Even though this technological advance is unprecedented, it is being dwarfed … Read more