ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics
Author:
Affiliation:
1. Politecnico di Milano,Dept. of Mechanical Engineering,Milan,Italy
2. Georgia Tech,School of Mechanical Engineering,Atlanta,GA,USA
3. NVIDIA Autonomous Vehicle Research Group,Santa Clara,CA,USA
Funder
Toyota Research Institute
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610953.pdf?arnumber=10610953
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1. Human motion trajectory prediction: a survey
2. A Review of Tracking and Trajectory Prediction Methods for Autonomous Driving
3. A survey of robotic motion planning in dynamic environments
4. A Review of Motion Planning Techniques for Automated Vehicles
5. Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data
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