alen-smajic / Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
☆70Updated 3 years ago
Alternatives and similar repositories for Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning:
Users that are interested in Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning are comparing it to the libraries listed below
- Example scripts for the detection of lanes using the ultra fast lane detection model in Pytorch.☆72Updated 2 years ago
- Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with…☆48Updated 2 years ago
- ☆83Updated 3 years ago
- A project to demonstrate lane detection with a front facing camera.☆111Updated 9 months ago
- A pipeline that can detects lane boundaries, predicts upcoming curves, and measures lane curvature.☆112Updated 4 years ago
- A tutorial for training YOLOv3 to detect traffic lights using BOSCH small traffic light dataset.☆122Updated 3 years ago
- ☆99Updated last year
- Road object detection on Berkeley DeepDrive (BDD) 100k images with a total of 10 classes.☆23Updated 3 years ago
- ☆142Updated 2 years ago
- Code for Berkeley DeepDrive dataset conversion to YOLO format☆9Updated 5 years ago
- Lane detection for ADAS application with sliding windows technics☆18Updated 4 years ago
- Traffic light detection using deep learning with the YOLOv3 framework. PyTorch => YOLOv3☆64Updated 4 years ago
- A Keras implementation of YOLOv3 (Tensorflow backend)☆22Updated 4 years ago
- ☆47Updated last year
- ☆12Updated 4 years ago
- This project implements object detection and range estimation. The object detection is done through YOLOV5 in this implementation. The pr…☆45Updated 2 years ago
- This repository contains my upgraded version of using YoloV4 with OpenCV DNN to detect 4 classes of traffic road signs : traffic lights, …☆26Updated 3 years ago
- Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Finding Project. Identifying lanes using edge detection (Sobel operator, gradi…☆48Updated 3 years ago
- ☆226Updated 2 years ago
- ☆120Updated 4 years ago
- ☆24Updated 7 years ago
- Estimating distance to the nearest vehicle from the car dashboard camera☆30Updated 3 years ago
- The project can achieve FCWS, LDWS, and LKAS functions solely using only visual sensors. using YOLOv5 / YOLOv5-lite / YOLOv6 / YOLOv7 / Y…☆189Updated 3 months ago
- Estimating distance to objects in the scene using detection information☆164Updated 2 years ago
- Vehicle object detection & distance estimation using thermal imaging.☆31Updated 2 years ago
- Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking …☆162Updated 4 years ago
- YOLOv8-3D is a LowCode, Simple 2D and 3D Bounding Box Object Detection and Tracking , Python 3.10☆173Updated last year
- Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONNX.☆68Updated 2 years ago
- An experimental project for autonomous vehicle driving perception with steering angle prediction and semantic segmentation using a combin…☆8Updated 3 years ago
- An Intelligent Modular Real-Time Vision-Based System for Environment Perception (NeurIPS 2022 Workshop)☆69Updated last year