Vehicle Detection Project
Vehicle Detection by Haar Cascades with OpenCV
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
Vehicle Detection, Tracking and Counting
Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering
Vehicle detection using YOLO in Keras runs at 21FPS
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
Udacity Project - Vehicle Detection
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/ca...
Self Driving Car Vehicle Detection
xml file vehicle detection
Vehicle Detection with Convolutional Neural Network
vehicle-assistance including lane and vehicle detection and track.
Vehicle detection, tracking and counting by blob detection with OpenCV on c++.
Vehicle Detection Using Deep Learning and YOLO Algorithm
KITTI data processing and 3D CNN for Vehicle Detection
Vehicle detection/tracking project using YOLO network
Stereo vision based object detection for ADAS, autonomous vehicle
Vehicle detection based on YOLO and SVM
Vehicle Detection and Tracking using HOG, CNN