Udacity Self-Driving Car Engineer Nanodegree projects.

A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic

Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)

Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning

Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别 Using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classification or recognize

Vehicle Detection by Haar Cascades with OpenCV

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

Vehicle Detection, Tracking and Counting

Vehicle detection using YOLO in Keras runs at 21FPS

YOLO 3D Object Detection for Autonomous Driving Vehicle

This is official repository of our paper "RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification". Codes include a two stage model to achieve drone detection and classification using some FFT/STFT analytical method. The Raw data will be free to use after our paper is accept. Star us!!!!, if you think this is useful♥

Enhances construction site safety using YOLO for object detection, identifying hazards like workers without helmets or safety vests, and proximity to machinery or vehicles. HDBSCAN clusters safety cone coordinates to create monitored zones. Post-processing algorithms improve detection accuracy.

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗

This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation

Hobby project to track vehicles that are over speeding and violating red light

KITTI data processing and 3D CNN for Vehicle Detection

Vehicle Detection Using Deep Learning and YOLO Algorithm

Vehicle Detection Project

OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars

Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))

A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection

Udacity Self-Driving Car Project 5: Vehicle Detection and Tracking

Udacity Project - Vehicle Detection

The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm

This is a Matlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset:http://ai.stanford.edu/~jkrause/cars/car_dataset.html

A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......