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Found 3 papers, 1 papers with code
Dynamic Conditional Imitation Learning for Autonomous Driving
Our experiments showed that our model improved consistency against weather conditions by four times and autonomous driving success rate generalization by 52%.
Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds
Accurate detection of 3D objects is a fundamental problem in computer vision and has an enormous impact on autonomous cars, augmented/virtual reality and many applications in robotics.
Ranked #6 on
3D Multi-Object Tracking
on KITTI
End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies
Steering a car through traffic is a complex task that is difficult to cast into algorithms.
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