TU Delft
Developing more scalable AVs to operate in any environment
Developing techniques to make autonomous vehicles more scalable and to operate in any environment, from Arizona to Amsterdam.
Holger Caesar
TU Delft
Assistant Professor
Ongoing Research
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4D radar perception and multi-sensor fusion
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End-to-end planners and closed-loop simulation
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New Robotics platforms (bikes, boats, trains)
Selected Publications
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nuScenes: A Multimodal Dataset for Autonomous Driving (https://arxiv.org/abs/1903.
11027) -
Towards learning-based planning: The nuPlan benchmark for real-world autonomous driving (https://arxiv.org/abs/2403.
04133) -
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving (https://arxiv.org/abs/2404.
07762) -
PointPillars: Fast Encoders for Object Detection from Point Clouds (https://arxiv.org/abs/1812.
05784)
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