akm108 Goto Github PK

a-deep-approach-for-an-adaptive-cruise-control-system

This is an implementation of an adaptive cruise control system based on a computer vision pipeline. This work is based on YOLACT, a State-Of-The-Art real-time instance segmentation network. You're welcome to test and try our code, we hope you'll enjoy this work!

adaptive-cruise-control

Adaptive cruise control

adaptive-cruise-control-udoo

adaptivecruisecontrol

My Summer Project 2017

autonomous-vehicles-adaptive-cruise-control

An implementation of an Autonomous Vehicle Agent in CARLA simulator, using TF-Agents

carnd-vehicle-detection

Vehicle Detection Project

celestiniprojectindia

Semi-autonomous Car system using Digital Image Processing with openCV and python and interfacing it on Raspberry Pi including - Pedestrian detection and trajectory, Lane detection and Vehicle density detection.

computer-vision-with-embedded-machine-learning

lane_detection_sliding_windows

A repo for reference to lane detection codes used in the following video: https://youtu.be/ApYo6tXcjjQ

noise-adaptive-driving-assistance-system

Noise-Adaptive Driving Assistance System (NADAS) using Deep Reinforcement Learning, State-Estimation & State Representation

object-detection

Introduction The project presents an efficient method for object detection and demonstrates its use for real-time vision on-board vehicles. The work is closely based on Paul Viola’s face detection method [1], except that the system here was trained to detect objects related to traffic in order to assist the auto pilot on s

objectdetection

Vehicle detection, number plate recognition and speed calculation on Raspberrypi

openpilot

openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.

pi-camera-stream-flask

Create your own live camera stream using a Raspberry Pi 4

picamera2

New libcamera based python library

self-driving-car

An autonomous car using C++ and OpenCV on Arduino and Raspberry Pi 3. The project includes lane detection, object detection, and self-driving capabilities.

vehicle-collision-avoidance

This project was created for the 24 hour Bosch hackathon challenge focused on vehicle collision avoidance systems. It implements object detection and tracking from a provided dataset, identifies driving scenarios, and simulates collision avoidance strategies.

vehicle-cv-adas

The project can achieve FCWS, LDWS, and LKAS functions solely using only visual sensors. using YOLOv5 / YOLOv5-lite / YOLOv6 / YOLOv7 / YOLOv8 / YOLOv9 / EfficientDet and Ultra-Fast-Lane-Detection-v2 .

yolov3_deepsort_lane_detection

yolov5_deepsort_pytorch_lane_detection

ytube-rld

Road Line Detection for Autonomous Vehicles