ronartcal

copilot

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

CV-in-ADAS-pytorch

This repo includes Unet, Spatial CNN (S-CNN) and VPNet for lane segmentation, and YOLO, Faster-RCNN, Stereo-RCNN for vehicle detection.

Advanced-Lane-Lines

A pipeline that can detects lane boundaries, predicts upcoming curves, and measures lane curvature.

Automatic-Emergency-Braking

Implementation of the Automatic Emergency Braking System using deep learning.

Autonomous-Parking-System

Automatic Parking is an autonomous car maneuvering system (part of ADAS) that moves a vehicle from a traffic lane into a parking spot to perform parallel parking. The automatic parking system aims to enhance the comfort and safety of driving in constrained environments where much attention and experience is required to steer the car. The parking maneuver is achieved by means of coordinated control of the steering angle and speed which considers the actual situation i.e., the free spaces and the obstacle spaces in the environment to ensure collision-free motion within the available space. The path shape required for a parking maneuver is evaluated from the environmental model, generating a fifth-order polynomial, the corresponding control commands are selected and parameterized to provide motion within the available space. In real-time application, the commands are executed by the car servo-systems which drive the vehicle into the parking place.

Beginner-Traffic-Light-Detection-OpenCV-YOLOv3

This is a python program using YOLO and OpenCV to detect traffic lights. Works in The Netherlands, possibly other countries

camera

Car-Detection-Basic-Open-CV

Collision-Avoidance-System

Collision Avoidance System for Self-Driving Vehicles by Delta Autonomy, Robotics Institute, CMU

Curved-Lane-Lines

detect curved lane lines using HSV filtering and sliding window search.

darknet

deteccion-objetos-video

Deteccion de objetos sobre video usando PyTorch

dockerfile-yolov5-jetson

Dockerfile for yolov5 inference on NVIDIA Jetson

dreyeve

[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

labelImg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

lane-detection-with-steer-and-departure

A project to demonstrate lane detection with a front facing camera.

lisa-faster-R-CNN

Training a Faster R-CNN from scratch on LISA Traffic Signs dataset using TensorFlow Object Detection API

models

Models and examples built with TensorFlow

open-adas

An open source advanced driver assistance system (ADAS) that uses Jetson Nano as the hardware. Features: Traffic sign detection, Forward collision warning, Lane departure warning.

PaddleDetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

Real-Time-Object-Detection-of-Vehicles

Detection of vehicles using Image processing.

Self-Driving-Car-

A End to End CNN Model which predicts the steering wheel angle based on the video/image

surround_vehicles_awareness

Learn to map surrounding vehicles onto a bird's eye view of the scene.

Susy-Boom

VR detection

SynthDet

SynthDet - An end-to-end object detection pipeline using synthetic data

Unity-Simulation-Smart-Camera-Outdoor

Unity Simulation Sample project for outdoor smart camera usecase

Vehicle_detection_tracking

Vehicle detection and tracking baseline

Xavier-NX_Ignition_Maker

Nvidia Deepstream5+Ignition Maker+Metatdata+Python

yolov4_trt_ros

YOLOv4 object detector using TensorRT engine

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite