Motion Planner for Self Driving Cars
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Updated
Oct 6, 2019 - Python
Motion Planner for Self Driving Cars
My solution for udacity path planning project. This makes the car drive > 20 miles without collision without constraint violation
detecting collisions between bodies: Points, Lines, Boxes, Polygons (Concave too), Ellipses and Circles. Also RayCasting. All bodies can have offset, rotation, scale, bounding box padding, can be static (non moving) or be trigger bodies (non colliding).
List of commonly used robotics libraries and packages
RRT (Rapidly-Exploring Random Trees) using Dubins curve, with collision check in MATLAB
Python robot's kinematics library
The official repo for NeurIPS 2021 paper 'Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks'
A Hybrid-A* planner with early stopping for efficient path planning and extended motion primitives to account for the motion capabilities of the U-Shift II vehicle. Author: Oliver Schumann
This is a structure allowing you to find suitable collision-candidates out of a bulk of sprites or similar very fast.
Code for our paper "Autonomous Navigation in Unknown Environments with Sparse Bayesian Kernel-based Occupancy Mapping".
Tile based collision detection and response in MonoGame. Handles solid tiles, ground detection, platforms and slopes.
A data structure for efficient collision detection in a 2D space
CudaSoftCollisions is a library that allow you to detect self collisions in a tetrahedrical mesh that is deformed over time.
Code for our ICRA paper "Autonomous Navigation in Unknown Environments with Sparse Kernel-based Occupancy Mapping"
Canvas animation basics
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).
A browser based game inspired by the 1980 Atari arcade classic.
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