Topic: adas Goto Github
Some thing interesting about adas
Some thing interesting about adas
adas,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
User: adroitanandai
Home Page: https://towardsdatascience.com/adas-collision-avoidance-system-on-indian-cars-bac64cc8a863
adas,This repository contains the implementation of a lane detection system using the UNet architecture. The model is trained on the BDD100K dataset, leveraging its diverse and large-scale data to ensure robust performance under various weather conditions and different times of day.
User: anshchoudhary
adas, Eye state localisation and detection for use in Advanced Driver Assistance System.
User: anujanegi
adas,Lane depertaure and Yolo objection detection C++ Linux
User: apreddyy
adas,This project aims to develope a Road-Segmentation model for Advanced Driver Assistance System (ADAS)
User: asujaykk
adas,Driver eye and hand tracker for EcoCAR 4 tryouts with Jarvis and Patrick
User: benji1123
adas,road_segmentations, objectdetection, deeplabv3 OpenVINO+ADAS+LattePandaAlpha. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.10
User: bharath5673
adas,Simple and Easy simulator YOLOv5 Object Detection with Bird's Eye View
User: bharath5673
adas,YOLOv8-3D is a LowCode, Simple 2D and 3D Bounding Box Object Detection and Tracking , Python 3.10
User: bharath5673
adas,A project to demonstrate lane detection with a front facing camera.
User: canozcivelek
adas,Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning
User: cscribano
adas,A vehicle-pedestrian interaction framework for simulation.
User: dongfang-steven-yang
adas,Client example of Carla simulator with OpenCV in python
User: fcagroupj
adas,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.
User: gireeshsuresh
adas,Collision Avoidance System for Self-Driving Vehicles by Delta Autonomy, Robotics Institute, CMU
User: heethesh
adas,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.
User: karim-ahm
adas,Implementation of the Automatic Emergency Braking System using deep learning.
User: kuldeepbishnoi
adas,YIPSO, A Novel Autonomous Parking System
User: liespace
adas,Safe & lightweight & friendly ADAS.
User: minghaofu
adas,This repo includes Unet, Spatial CNN (S-CNN) and VPNet for lane segmentation, and YOLO, Faster-RCNN, Stereo-RCNN for vehicle detection.
User: mjdelta
adas,Algorithm-Verification & Scenario-Visualization-Kit(ASK): The project(ASK) aims to develop a ROS-free tool for SW solution validation and Algorithm reliability verification, which can be used in multi-domain, e.g. Robot, ADAS, APA, AVP, etc.
Organization: mobo-oss
adas,Search-based software testing of a pedestrian detection system using ESI Pro-SiVIC
User: mrksbrg
adas,[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.
User: ndrplz
Home Page: https://arxiv.org/pdf/1705.03854.pdf
adas,Learn to map surrounding vehicles onto a bird's eye view of the scene.
User: ndrplz
adas,A deep learning approach to traffic lights/signs detection and car distance estimation is implemented using background thresholding to train multiple datasets, leading to much better cross-detections.
User: nirmal-25
adas,Semi-automatic detection, tracking and labelling of active targets for autonomous driving.
User: nmssilva
adas,Deep learning based Gaze detection model to control the mouse pointer of your computer
User: nullbyte91
adas,Driver Monitoring System by using deep learning model Gaze, Face detection, Face Landmark, and Head pose estimation.
User: nullbyte91
adas,Detection of vehicles using Image processing.
User: ojaswy
adas,Vehicle Detection + Advanced Lane Finding for ADAS
User: olpotkin
adas,Functional safety (ISO-26262) and ADAS
User: overtane
adas,[1 FPS / CPU only] OpenVINO+ADAS+LattePandaAlpha. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+OpenCV3.4.3+PIL
User: pinto0309
Home Page: https://qiita.com/PINTO
adas,A Reinforcement Learning based approach for Lane change assistance system
User: rram12
adas,A benchmark towards generalizable reinforcement learning for autonomous driving.
User: seawee1
adas,Implementation of "A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application"
User: thecodez
adas,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, IXXAT, PEAK, Kvaser, Intrepidcs, ZLG, CANable, CandleLight, cantact and so on. Free for research and education purpose for some features.
Organization: tosun-shanghai
Home Page: http://www.tosunai.cn/
adas,TSMaster Demo Program Source Code
Organization: tosun-shanghai
adas,My work during the research internship "Automotive Control using Surface Electromyography" at The University of Tokyo, Jun.-Sep. 2020
User: tran-gia-quoc-bao
adas,A collection of ego-motion estimation projects for AD/ADAS functions
User: uditbhaskar19
adas,Projects for various Radar Perception tasks
User: uditbhaskar19
adas,Lane identification system for camera based systems.
User: vamsiramakrishnan
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.
User: vietanhdev
adas,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
User: visualbuffer
Home Page: https://towardsdatascience.com/copilot-driving-assistance-635e1a50f14
adas,ADAS app, for driving safty .YOLOX tiny + lane detection on Android with 15 FPS!
User: youkpan
adas,🚚 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).
User: yutong-gannis
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