😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

A list of references on lidar point cloud processing for autonomous driving

3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection

Processing an Image to find obstacles and the minimum path between two similar objects using OpenCV.

Sensor Fusion Nanodegree Project

Dataset and Evaluation Scripts for Obstacle Detection via Semantic Segmentation in a Marine Environment

Real-time monocular depth estimation for DJI Tello drone collision avoidance. Modern TF2.x implementation with webcam support, comprehensive tests, and autonomous navigation. PyDNet-based with MiDaS support.

A PyTorch reimplementation of the WaSR obstacle segmentation model

An obstacle tracking ROS package for detecting obstacles using 2D LiDAR scan using an Extended object tracking algorithm

This program detect and identify obstacle on railway. If program detect some obstacle that train must stop, program gives you warning sign. This program Also estimate riskiness of obstacle how it is negligible or not. We provide many models to you to detect railways and obstacles.

Project: Lidar Obstacle Detection || Udacity: Sensor Fusion Engineer Nanodegree

Temporal WaSR-T model for maritime obstacle detection via semantic segmentation

A PAL Mobile Base for your advanced navigation needs

In this project I aim to develop an unsupervised sense-and-avoid system for UAVs using sparse and dense optical flow.

3D LiDAR obstacle detection on point cloud data using segmentation and clustering.

Obstacle detection using lidar point cloud

NMPC controller for trajectory tracking and obstacle avoidance

Evaluation scripts for the LaRS dataset

No description provided.

💡 This project proposes an IoT based fall detection and rescue system. The main objective here is to alert the user as well as a guardian/ doctor if there is a possibility of fall.

ROS package for obstacle segmentation in a point cloud scene

Robot Car realized using Arduino able to follow a path and to detect and avoid obstacles during the way.

This package is essentially a ros-wrapper of neural_cam. More features would be added in the future, geared towards mobile robot platform. Eventual goal of this package is to solve the problem of given an image, where is the obstacle with respect to the robot in a 3D space.

Project Drone programming-exercises

Scaffolded Learning Regime for training maritime obstacle detection networks

No description provided.

The goal is to train an agent that can detect and avoid obstacles inside a polytope. The agent will learn the line of the shot of the ball to reach the goal in optimal steps. Utilizing Tensorflow with Reinforcement learning in Unity along with mlagents package to train the game.

This project attempts to create a system which would bring in added ease to the visually impaired, through our nagivation, obstacle-detection, obstacle distance identification and speech-driven system to seamlessly integrate applications like Ola, Uber, etc. This was built during the PW-Hacks Jan-2023.