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agauto's Projects

a_star_and_hybrid_a_star icon a_star_and_hybrid_a_star

Given a graph, A* finds the optimal path, if it exists, joining the start node to the goal node. Hybrid A* takes vehicle dynamics into consideration and generates a smoother path which the vehicle can follow. Both the implementations are optimized using dictionaries & heaps

automatic-parking icon automatic-parking

Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking

autonomous_mobile_robot icon autonomous_mobile_robot

Implementation of an autonomous mobile robot with semantic segmentation, object detection, motion planning and control systems

centertrack icon centertrack

Simultaneous object detection and tracking using center points.

deepbee-source icon deepbee-source

DeepBee is a project that aims to assist in the assessment of honey bee colonies using image processing and machine learning.

dope-ros-d435 icon dope-ros-d435

Object 6DoF Pose Estimation for Assembly Robots Trained on Synthetic Data - ROS Kinetic/Melodic Using Intel® RealSense D435

fields2cover icon fields2cover

Robust and efficient coverage paths for autonomous agricultural vehicles. A modular and extensible Coverage Path Planning library

floam icon floam

Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021

frenet icon frenet

Transform Frenet (s,d) to local Cartesian (x,y) coordinates.

gbplanner_ros icon gbplanner_ros

Graph-based Exploration Planner for Subterranean Environments

hybrid-a-star icon hybrid-a-star

Hybrid A* Motion Planner for a Car using kinematic & Reeds-Shepp Model

hybrid-a-star-for-car-parking icon hybrid-a-star-for-car-parking

This repository contains my Implementation of hybrid A star for a vehicle with Ackerman steering to perform complex parking maneuvers in tight parking spaces

hybvio icon hybvio

HybVIO visual-inertial odometry and SLAM system

imu_utils icon imu_utils

A ROS package tool to analyze the IMU performance.

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