ME495 Final Project
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Updated
Dec 11, 2017 - Python
ME495 Final Project
Experts in teams Metal Detector
A path planner that is able to navigate a car safely around a virtual highway
robot control code for my robotics team's 2018 competition (primary contributor)
Includes all the materials that we prepared during the e-Yantra Robotics Competion, 2018.
Navigate a SDC around a virtual highway with other traffic that is driving +-10 MPH of the 50 MPH speed limit.
Simulating path finding with a Tetrahedral Robot on a planar terrain
A simple Dash app to visualize, modify and optimize global paths for autonomous cars.
C++ implementation of A* Search Algorithm for finding the shortest path between two nodes on OpenStreetMap data.
An implementation of Rapidly-exploring Random Trees in 2D
Integration of the perception, planning, and control subsystems of an autonomous vehicle using the Robot Operating System (ROS)
ROS를 활용한 자율주행 차량의 차선 탐지 및 경로 계획 프로젝트 (장애물 회피 및 주행 경로 추적을 위한 영상 처리 및 제어)
Assignment for Mehcatronics
GraphModels est un package Python dédié à l'optimisation des problèmes d'analyse combinatoire, de cheminement, d'ordonnancement et plus encore. Conçu pour les chercheurs en mathématiques appliquées et en recherche opérationnelle, ce package offre une suite complète de modules pour résoudre une variété de problèmes complexes de manière efficace.
Scripts from laboratory about tools that are used to program robots.
Implementation of the path-finding algorithm A* with a visual representation.
An intelligent grid-traversal agent
Create a path planner that is able to navigate a car safely around a virtual highway
Algorithms related to solving problems from searching and planning
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