A PAL Mobile Base for your advanced navigation needs
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Updated
Jun 21, 2024 - Python
A PAL Mobile Base for your advanced navigation needs
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
From https://github.com/kneehit/LIDAR-Obstacle-Detection, ROS version
Interfacing and obstacle detection pipeline for the SICK Multiscan 136
An obstacle tracking ROS package for detecting obstacles using 2D LiDAR scan using an Extended object tracking algorithm
Project for Embedded Systems class (ECEN 361) in Winter 2024. Group members include Trevor Gibb and Adam Foster.
This project was inspired from the University of Malta 's Robotics 1 University Unit.
Turtlebot obstacle avoidance
3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm
Multi-process drone control and navigation system in C utilizes socket-based communication for inter-device interaction.
In this project, the Dijkstra's path planning algorithm was implemented on a point robot for helping it navigate through an obstacle filled space.
Multi-process drone simulation system with obstacles and targets, leveraging pipes for inter-process communication.
Obstacle-Avoidance-in-Autonomous-vechicles
This Arduino code utilizes an ultrasonic sensor to measure distances. When an object is detected within a fix distance , the connected motors trigger a sequence: move backward, turn right, turn left, then move forward. Motor control is achieved using the AFMotor library, and the distance calculation is based on the sensor's pulse duration.
Undergraduate Dissertation (University of Malta) 2020-2023 - 'Autonomous Drone Control using Reinforcement Learning''
Evaluation scripts for the LaRS dataset
Temporal WaSR-T model for maritime obstacle detection via semantic segmentation
Scaffolded Learning Regime for training maritime obstacle detection networks
A PyTorch reimplementation of the WaSR obstacle segmentation model
Obstacle detector and classifier mobile app with flutter and python tensorflow lite yolov4 model
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