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Found 4 papers, 3 papers with code
RedMotion: Motion Prediction via Redundancy Reduction
Predicting the future motion of traffic agents is vital for self-driving vehicles to ensure their safe operation.
MaskedFusion360: Reconstruct LiDAR Data by Querying Camera Features
In self-driving applications, LiDAR data provides accurate information about distances in 3D but lacks the semantic richness of camera data.
Self-supervised pseudo-colorizing of masked cells
Self-supervised learning, which is strikingly referred to as the dark matter of intelligence, is gaining more attention in biomedical applications of deep learning.
Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning
Reinforcement learning is nowadays a popular framework for solving different decision making problems in automated driving.
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