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

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

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

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

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

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.

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

Sensor Fusion Nanodegree Project

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.

ROS package for obstacle segmentation in a point cloud scene

My goal is to come up with a simple and a basic model of an obstacle avoiding bot with the best possible algorithm to detect and avoid an obstacle using only One Ultrasonic Sensor module (HCSR04) and 2 wheels. The project is still into development to find even better an algorithm to achieve the same task.

Implementing ROS nodes for core functionality of the autonomous vehicle system, including traffic light detection, control, and waypoint following!

A machine learning software to detect nearby vehicles from camera feedback

Removes phantom obstacles from maps created from robot point clouds

To develop an autonomous vehicle using Arduino (Atmega-328p) & remote wireless supervisory control (using, XCTU & XBee or C#) with capability of ultrasonic obstacle detection & avoidance, self-parking, stopping at gantries in its path & safely co-existing with other vehicles. The Infra-Red module, Transmitter & Receiver circuits were designed & fabricated on a PCB from scratch to develop the vehicle.

This gives a implementable path planning algorithm over a colored arena with an over head camera connected to the laptop on which your code runs. The bot should have a April Tag for the code to identify the bot over the arena. Bluetooth serial communication is used.

Use lidar car data to detect incoming road obstacles track multiple cars on the road, estimating their positions and speed

Simple and robust real-time navigation for a noisy differential-drive agent with LIDAR in unknown static environment.

ROS obstacle detection for 3D point clouds using a height map algorithm.

Obstacle detection using lidar point cloud

2019년 2학기 인천대학교 산학 캡스톤 디자인 경진대회

Project with Team Rudra

Code and Report of an obstacle detection robot

Recognizing obstacles in 3d point cloud data

Cube bouncing against window edges and against a changing obstacle

Detect anomalies in images using deep features

📱 🔜 This project is a pathfinder for visually impaired people. It takes a picture from camera of mobile phone then detection obstacles by deep learning model. Then It tells to turn right, to turn left or go straight. The mobile application does this in a loop.