akhilesh-k / Lane-and-Vehicles-DetectionLinks
This repository contains works on a computer vision software pipeline built on top of Python to identify Lanes and vehicles in a video. This project is not part of Udacity SDCND but is based on other free courses and challanges provided by Udacity. It uses Computer vision and Deep Learrning Techniques. Few pipelines have been tried on SeDriCa, …
☆69Updated 7 years ago
Alternatives and similar repositories for Lane-and-Vehicles-Detection
Users that are interested in Lane-and-Vehicles-Detection are comparing it to the libraries listed below
Sorting:
- Lane Detection for Self-Driving Car, using Computer Vision Techniques☆51Updated 8 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking☆59Updated 7 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Road Semantic Segmentation☆90Updated 7 years ago
- A robust lane detection system based on fully convolutional network for segmenting the road and the lane.☆53Updated 8 years ago
- Vehicle Detection using Mask R-CNN and Computer Vision based Lane Detection☆127Updated 7 years ago
- OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars☆243Updated 4 years ago
- A tool designed to unify and streamline the evaluation of perception models across different frameworks and datasets.☆83Updated 2 weeks ago
- Term 1, Project 5 - Udacity Self Driving Car Nanodegree☆20Updated 7 years ago
- A Deep Neural Network to do traffic sign recognition☆47Updated 8 years ago
- Vehicle Detection with Convolutional Neural Network☆155Updated 8 years ago
- Real-time LISA Traffic Sign Detection by YOLOv2☆26Updated 8 years ago
- Combined lane and vehicle detection pipeline comparing YOLOv2 and LeNet-5☆15Updated 7 years ago
- Detecting Road Features: identifying lane and vehicles boundaries in a video.☆101Updated 8 years ago
- Perception algorithms for Self-driving car; Lane Line Finding, Vehicle Detection, Traffic Sign Classification algorithm.☆50Updated 8 years ago
- ☆28Updated 8 years ago
- Using OpenCV to detect Lane lines on Roads☆77Updated 8 years ago
- My solutions to the projects assigned for the Udacity Computer Vision Nanodegree☆38Updated 7 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Advanced Lane Finding☆54Updated 8 years ago
- Lane identification system for camera based systems.☆71Updated 8 years ago
- capsule networks that achieves outstanding performance on the German traffic sign dataset☆126Updated 7 years ago
- ☆70Updated 8 years ago
- This is our SIH 2018 Project with detects object related to traffic like traffic signs, vehicles etc☆40Updated 7 years ago
- Learn to map surrounding vehicles onto a bird's eye view of the scene.☆212Updated 5 years ago
- I am using an ensemble of classic computer vision and modern deep learning techniques, to detect the lane lines and the vehicles on a hig…☆49Updated 8 years ago
- A dataset of traffic, fire and accident images for training deep learning models.☆160Updated 6 years ago
- real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method☆140Updated 8 years ago
- RESEARCH [ + ] Robust framework for Lane Detection and Tracking using Deep CNN, Extended Hough Transform and Kalman Filter for autonomo…☆77Updated 5 years ago
- Estimating the orientation and the relative dimensions of vehicles by producing a 3d bounding frame☆33Updated 7 years ago
- Advanced multiple object tracker using dlib and OpenCV.☆64Updated 7 years ago
- Use 3D convolutional network to predict the speed of a car via dashcam stream. The final mean squared error on validation set is 3.1 (mil…☆41Updated 8 years ago