Topic: motion-planning-algorithms Goto Github
Some thing interesting about motion-planning-algorithms
Some thing interesting about motion-planning-algorithms
motion-planning-algorithms,A repository for my undergraduate final year project
User: abdulrasheed1729
motion-planning-algorithms,Repository for Fetch Robotics simulation and POCs
User: antarikshnarain
motion-planning-algorithms,Path Planning using A-Star algorithm
User: arp95
motion-planning-algorithms,Using Dijkstra Path Planning Algorithm (Part of ENPM661 - Planning for Autonomous Robots)
User: arp95
motion-planning-algorithms,A-star Algorithm on ROS Turtlebot-2 (Part of ENPM661 - Planning for Autonomous Robots)
User: arp95
motion-planning-algorithms,MATLAB implementation of control and navigation algorithms for mobile robots
User: d-misra
motion-planning-algorithms,Implementation of Bug Algorithms and Basic Forwards / Inverse Kinematics Equations.
User: nicholasrenninger
motion-planning-algorithms,To guarantee safe and efficient driving for automated vehicles in complicated traffic conditions, the motion planning module of automated vehicles are expected to generate collision-free driving policies as soon as possible in varying traffic environment. However, there always exist a tradeoff between efficiency and accuracy for the motion planning algorithms. Besides, most motion planning methods cannot find the desired trajectory under extreme scenarios (e.g., lane change in crowded traffic scenarios). This study proposed an efficient motion planning strategy for automated lane change based on Mixed-Integer Quadratic Optimization (MIQP) and Neural Networks. We modeled the lane change task as a mixed-integer quadratic optimization problem with logical constraints, which allows the planning module to generate feasible, safe and comfortable driving actions for lane changing process. Then, a hierarchical machine learning structure that consists of SVM-based classification layer and NN-based action learning layer is established to generate desired driving policies that can make online, fast and generalized motion planning. Our model is validated in crowded lane change scenarios through numerical simulations and results indicate that our model can provide optimal and efficient motion planning for automated vehicles
User: shitianyu-hue
motion-planning-algorithms,Matlab Implementation of algorithms : 1. Dynamic programming 2. Dijksrta 3. A* 4. Weighted A*
User: shivamchourey
motion-planning-algorithms,Motion Planning and Control of Self-Driving Car
User: tinker-twins
motion-planning-algorithms,A task space motion planner with global and local obstacle avoidance for robotic manipulators.
User: tom-forsyth
motion-planning-algorithms,Highway Driving (project 7 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
User: trajkd
motion-planning-algorithms,motion planning algorithms of robotics
User: xwnb
motion-planning-algorithms,Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
User: zhm-real
Home Page: https://github.com/zhm-real/MotionPlanning
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