dragonpilot - 基於 openpilot 的開源駕駛輔助系統

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.

Implementation of "A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application"

A powerful open environment for automotive bus monitoring, simulation, testing, diagnostics, calibration and so on. It supports all kinds of mainstream hardware such as TOSUN, Vector, PEAK, Kvaser, Intrepidcs, ZLG, CANable, CandleLight, cantact and so on. It is a permanent free software for all automotive engineers.

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

🚚 ETSAuto is an Advanced driver Assistance System applied in Euro Truck Simulator 2, performing the functions of Lane Centering Control (LCC) and Auto Lane Change (ALC).

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

Openpilot on Jetson Xavier NX

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

YOLOv8-3D is a LowCode, Simple 2D and 3D Bounding Box Object Detection and Tracking , Python 3.10

[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.

Lane identification system for camera based systems.

Simple and Easy simulator YOLOv5 Object Detection with Bird's Eye View

A benchmark towards generalizable reinforcement learning for autonomous driving.

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…

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

ANOTHER openpilot fork running on legacy devices (EON / LEON / comma two)

Vehicle Detection + Advanced Lane Finding for ADAS

Implementation of the Automatic Emergency Braking System using deep learning.

Graduation project repository, Real-time vehicle detection using two different approaches. HOG+SVM traditional approach and Deep Learning based approach using state of the art YOLO convolutional neural network.