adas

vietanhdev/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.

TOSUN-Shanghai/TSMaster

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.

TheCodez/dynamic-occupancy-grid-map

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

ndrplz/surround_vehicles_awareness

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

Yutong-gannis/ETSAuto

🚚 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).

visualbuffer/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

eFiniLan/xnxpilot

Openpilot on Jetson Xavier NX

bharath5673/YOLOv8-3D

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

canozcivelek/lane-detection-with-steer-and-departure

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

ndrplz/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.

vamsiramakrishnan/AdvancedLaneLines

Lane identification system for camera based systems.

bharath5673/yolov5_BEV

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

seawee1/driver-dojo

A benchmark towards generalizable reinforcement learning for autonomous driving.

Gireeshsuresh/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.

heethesh/Collision-Avoidance-System

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

eFiniLan/legacypilot

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

olpotkin/Vehicle-Detection

Vehicle Detection + Advanced Lane Finding for ADAS

kuldeepbishnoi/Automatic-Emergency-Braking

Implementation of the Automatic Emergency Braking System using deep learning.

Karim-Ahm/Realtime-Vehicle-Detection

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.

mjDelta/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.

jingtian123qwe/ADAS_Functions_MATLAB

nullbyte91/Computer-Pointer-Controller

Deep learning based Gaze detection model to control the mouse pointer of your computer

AdroitAnandAI/ADAS-Car-using-Raspberry-Pi

ADAS Car - with Collision Avoidance System (CAS) - on Indian Roads using LIDAR-Camera Low-Level Sensor Fusion. DIY Gadget built with Raspberry Pi, RP LIDAR A1, Pi Cam V2, LED SHIM, NCS 2 and accessories like speaker, power bank etc

dongfang-steven-yang/vpi-crossing

A vehicle-pedestrian interaction framework for simulation.

TOSUN-Shanghai/TSMasterDemos

TSMaster Demo Program Source Code

cscribano/CERBERUS

Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning

nullbyte91/Driver-Monitoring-System-Gaze_Detection

Driver Monitoring System by using deep learning model Gaze, Face detection, Face Landmark, and Head pose estimation.

apreddyy/LaneandYolovehicle-DetectionLinux

Lane depertaure and Yolo objection detection C++ Linux

youkpan/hayoou_safe_driving_android

ADAS app, for driving safty .YOLOX tiny + lane detection on Android with 15 FPS!

nqkhanh2002/ADAS-LDWS-LKAS-FCWS

Development of a lane detection and tracking solution for self-driving cars. This is an important part of the autopilot system, to ensure the safety and efficiency of the driver and passengers on the road.

anujanegi/ADAS

Eye state localisation and detection for use in Advanced Driver Assistance System.

liespace/DeepPlanning

YIPSO, A Novel Autonomous Parking System

PINTO0309/OpenVINO-ADAS

[1 FPS / CPU only] OpenVINO+ADAS+LattePandaAlpha. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+OpenCV3.4.3+PIL

UditBhaskar19/EGO_MOTION_ESTIMATION

A collection of ego-motion estimation projects for AD/ADAS functions

ax2mazhr/FLIR2YOLO

Convert FLIR formatted annotations to YOLO training format + Additional Directory tree formatting guide.