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2D Car Detection in Radar Data with PointNets
To this end, PointNets are adjusted for radar data performing 2D object classification with segmentation, and 2D bounding box regression in order to estimate an amodal 2D bounding box.
Object Detection on Dynamic Occupancy Grid Maps Using Deep Learning and Automatic Label Generation
We tackle the problem of object detection and pose estimation in a shared space downtown environment.
Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling
Long-term situation prediction plays a crucial role in the development of intelligent vehicles.
Robotics
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