Motion Planner for Self Driving Cars
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Updated
Oct 6, 2019 - Python
Motion Planner for Self Driving Cars
The official repo for NeurIPS 2021 paper 'Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks'
Python robot's kinematics library
Code for our paper "Autonomous Navigation in Unknown Environments with Sparse Bayesian Kernel-based Occupancy Mapping".
Code for our ICRA paper "Autonomous Navigation in Unknown Environments with Sparse Kernel-based Occupancy Mapping"
Polar Collision Grids: Effective Interaction Modelling for Pedestrian Trajectory Prediction in Shared Space Using Collision Checks (ITSC 2023)
This package checks for collisions while offline with its own model. This is useful especially while checking collisions for situations where collision links are disabled for experiments (allowing moveit to collide links in the simulation, e.g. while testing DawnIK Solver).
Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space (IEEE-IV-2024) - Pedestrian Trajectory Prediction Part
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