Garciaduvanjames

Garciaduvanjames's Stars

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

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

  Language:Python11041

• yuliangzhong/MPC_project

  Best MPC exercises and best annotated answers here!

  Language:MATLAB113

• TUMFTM/mod_vehicle_dynamics_control

  TUM Roborace Team Software Stack - Path tracking control, velocity control, curvature control and state estimation.

  Language:MATLAB24883

• TUMFTM/sim_vehicle_dynamics

  TUM Roborace Team Software Stack - Vehicle Simulation

  Language:MATLAB11027

• mathworks/ecal-toolbox

  eCAL Toolbox for Simulink

  Language:C++83

• attaoveisi/Extended_State_Observer

  a disturbance rejection-based solution to the problem of robust output regulation of linear systems. The difference between the underlying plant and its nominal mathematical model is represented by two classes of disturbances. The first class is generated by an autonomous linear system while the other class has no specific dynamical structure. Robustness against the first disturbance class is achieved by the internal model principle. Next, in the framework of disturbance rejection control, an extended state observer (ESO) is designed to estimate and compensate for the second class of disturbances. As a result, the proposed output regulation method can deal with a vast range of uncertainties. The stability of the closed loop system is investigated and results on practical regulation are drawn. Keywords—Output regulation, extended state observer, disturbance rejection, linear system, robustness

  Language:MATLAB305

• TuSimple/tusimple-benchmark

  Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple-benchmark/issues/3

  Language:Jupyter Notebook571181

• ApolloAuto/apollo

  An open autonomous driving platform

  Language:C++25.3k9.7k

• cfzd/Ultra-Fast-Lane-Detection

  Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

  Language:Python1.8k493

• PINTO0309/PINTO_model_zoo

  A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

  Language:Python3.6k576

• custom-build-robots/donkeycar

  Open source hardware and software platform to build a small scale self driving car.

  Language:Python4

• Prathik0300/Road_Lane_Detector

  the project is for detecting the lane so that the autonomous vehicles can align accordingly and on encountering any curves the steering angle predicts how much the steering should be rotated in which direction. this project is developed using OpenCV. its a simple program without deep learning. DL maybe used in this to improve the object detection and manoeuvre the vehicle accordingly

  Language:Python2

• tomsabag/open_cv_car_project

  Self driving car, with lane detection and curve detection, using Deep Learning and OpenCV

  Language:Python1

• Tpoc311/Curved_Lane_Line_Detection

  Language:Jupyter Notebook21

• drtupe/Advance_Lane_Detection

  This project was done to study camera calibration, lane detection at straight lanes and curved lanes and broaden my knowledge on perception by cameras for autonomous vehicles.

  Language:Jupyter Notebook2

• ninjashu/Curved-Lane-detection

  The development of the self-driving car is needed for the safety of driver and passenger on the vehicle. The two most important parts of advanced driver assistance systems are a collision avoidance system and a Lane keeping assist system, which could help to reduce the number of traffic accidents. A fundamental technique for effective collision avoidance and lane-keeping is a robust lane detection method

  Language:Python31

• Rishabh96M/lane-detection

  Detecting lanes and predicting curves for a self driving car.

  Language:Python2

• Mouiad-JRA/Lane-Line-Detection-using-Image-Processing-vs-Deep-Learning

  Lane line detection technique is used in many self-driving autonomous vehicles as well as line-following robots,We developed a software to Detect lane lines in a variety of conditions, including changing road surfaces, curved roads, and variable lighting. An image processing based detection and a deep learning AI detection are to be implemented, evaluated and compared in the scope of this project and the final is an easy to use sandbox for lane detection in the proposed methods.

  Language:Python142

• aditiramadwar/Lane-Detection-And-Turn-Prediction

  Implemented the sliding window technique along with curve fitting to detect lanes accurately and predict turns

  Language:Python1

• Ashutosh1510/Curved_lanes_detection

  Language:Python1

• Sakshat17/Advanced_Lane_Detector

  Using Computer vision techniques to implement curved lane detection

  Language:Jupyter Notebook1

• AnkurSatya/Advanced-Lane-Detection

  Finding curved lane lines using OpenCV

  Language:Jupyter Notebook93

• laavanyebahl/Advance-Lane-Detection-and-Keeping-

  Dynamically detect lane lines which are straight/ curved , white and yellow in color

  Language:Jupyter Notebook175

• yukitsuji/Advanced_Lane_Finding

  Curved Lane Detection by computer vision techniques such as perspective transform or image thresholding.

  Language:Jupyter Notebook148

• kylesf/Advanced-Lane-Detection

  Model for the extraction of lane lines, both curved and straight, from the road. Augmented the lane area, as well added important metrics, such as cars distance from the center of the road. Implemented with OpenCV and python.

  Language:Jupyter Notebook7932

• SoulmateB/CurveLanes

  CurveLanes is a new benchmark lane detection dataset with 150K lanes images for difficult scenarios such as curves and multi-lanes in traffic lane detection. It is collected in real urban and highway scenarios in multiple cities in China.

  12127

• rAum/CurvedLaneDetection

  An old experimental implementation of curved lane detection using OpenCV, RANSAC, DBSCAN etc

  Language:C++3940

• Arjit2752/Road-Lane-Detection

  Real Time Road Lane Detection using OpenCV python

  Language:Python6

• DGIST-ARTIV/VISION

  Open-Source Real-Time Object Detection, Tracking and Lane Detection for Autonomous Vehicle

  Language:Python73

• dongdonghy/realtime_lane_detection

  real time lane detection with numpy and multi-thread

  Language:Python97