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Found 4 papers, 2 papers with code
DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection
However, cameras are not robust against severe weather conditions, lidar sensors are expensive, and the performance of radar-based perception is still inferior to the others.
Evaluating Pedestrian Trajectory Prediction Methods with Respect to Autonomous Driving
In this paper, we assess the state of the art in pedestrian trajectory prediction within the context of generating single trajectories, a critical aspect aligning with the requirements in autonomous systems.
RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception
However, the sparsity of radar point clouds and the poor data availability remain challenging for current perception methods.
Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits
It is capable of running simulations of up to eight autonomous vehicles in real time.
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