1 research outputs found
Motion Prediction on Self-driving Cars: A Review
The autonomous vehicle motion prediction literature is reviewed. Motion
prediction is the most challenging task in autonomous vehicles and self-drive
cars. These challenges have been discussed. Later on, the state-of-theart has
reviewed based on the most recent literature and the current challenges are
discussed. The state-of-the-art consists of classical and physical methods,
deep learning networks, and reinforcement learning. prons and cons of the
methods and gap of the research presented in this review. Finally, the
literature surrounding object tracking and motion will be presented. As a
result, deep reinforcement learning is the best candidate to tackle
self-driving cars