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Found 4 papers, 2 papers with code
Kraken: enabling joint trajectory prediction by utilizing Mode Transformer and Greedy Mode Processing
The most prominent motion prediction approaches are based on modeling the distribution of possible future trajectories of each actor in autonomous system's vicinity.
Match and Locate: low-frequency monocular odometry based on deep feature matching
Accurate and robust pose estimation plays a crucial role in many robotic systems.
MPA: MultiPath++ Based Architecture for Motion Prediction
Autonomous driving technology is developing rapidly and nowadays first autonomous rides are being provided in city areas.
MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving
To plan a safe and efficient route, an autonomous vehicle should anticipate future motions of other agents around it.
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