collector-m Goto Github PK

vectornet

VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation, partial function re-implement

vectornet-1

Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”

vehicle-detection

vehicle-detection-1

Vehicle detection/tracking project using YOLO network

vehicle-detection-2

vehicle-detection-and-tracking

Vehicle Detection and Tracking, Udacity Self-driving Car Engineer Nanodegree Project 5

vehicle-detection-and-tracking-1

Vehicle detection using Tensorflow Object Detection API and tracking using Kalman-filtering

vehicle-detection-using-hog-svm

vehicle-detection-yolo-ver

real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method

vehicle-dynamics-simulator

TORCS-based Vehicle Dynamics Simulator with Supporting CAN

vehicledetection

vehiclereid_baseline

This is a baseline framework for vehicle re-id on the VeRi dataset, implementated by PyTorch.

vehicletrajectoryanalytics

Vehicle Trajectory Analytics and Visualizations

velo2cam_gazebo

Repository including Gazebo models, plugins and worlds to test calibration algorithms for Lidar-camera setups.

velodyne

ROS support for Velodyne 3D LIDARs

velodyne-1

Application for the Velodyne 3D Scanner - Point Cloud Simplifier, Meshing and Floor detection

velodyne-2

ROS Package for velodyne segmentation and person tracking

velodyne-3

Velodyne Lidar Python Library

velodyne-lidar-parser

Parse pcap from HDL-32E Sensor

velodyne-sensor-fusion

velodyne_height_map

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

velodyne_objectdetection_ros

This code is object detection code using velodyne. Object points are extracted from background points that is set in initialize step.

velodyne_odo

slam from 3dlaser data ROS project

velodyne_odom

Lidar odometry using the VLP16

velodyne_pointcloud_to_laserscan

takes pointcloud2 data from velodyne 32 e and publishes a laserscan to be used with 2D SLAM or path planning applications. How it works: Uses ony X and Y coordinates from pointcloud2 information and converts it to a laserscan. since the z values are not used and laserscan is for 2D applications, you will effectively have a plan view(top view) of a 3d pointcloud map.

velodyne_puck

A simplified driver for Velodyne VLP16 (PUCK) based on the official ROS velodyne driver.

velodyne_simulator

URDF description and Gazebo plugins to simulate Velodyne laser scanners - fork from BitBucket: https://bitbucket.org/DataspeedInc/velodyne_simulator

velodyne_tracking

veloslam

A library that runs SLAM algorithm on point clouds collected by Velodyne LiDARs

veloview

VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-64E, HDL-32E, and VLP-16)