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adas-lkas-acc

ADAS(Advanced Driving Assistance System) with some sort of assistant systems such as Lane keeping assist system,Adaptive Cruise Control,etc.

awesome-lane-detection

lane detection

capicxx-someip-tools

Common API C++ SOMEIP tooling

conflict-and-negotiation-simulation

game theory simulation

cplusplusthings

C++那些事

cpp-nanodegree

【优达学城】【C++】【练习及项目代码】

cppvreplkas

A Software-in-the-Loop simulator for a lane keeping assist system (LKAS) using V-REP to validate the LKAS controller and the lane detection algorithm.

fast-dds

The most complete DDS - Proven: Plenty of success cases.

genivi-capi-someip-examples

Simple CommonAPI via SOME/IP example, which also supports Android (AOSP and NDK).

highway-env

A minimalist environment for decision-making in autonomous driving

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

iob_markovchain

Implementation of object-oriented programing, linear algebra and Markov Chains theory in Python to assist data analysis for this game and game rules adjustment based on the obtained dominant eigenvector that described related behaviors in the long run

lane-detection-using-edge-detection

Self-driving or Autonomous driving, Advanced Driving Assistance System (ADAS) is one of the most popular topics in research related to vehicle safety. One of the most useful technologies in autonomous driving is lane detection that uses longitudinal marks (e.g. straight and dashed lines) as a reference to keep the vehicle running on lane. Various operators on edge detection are proposed to obtain the best accuracy of lane detection. However, the movement of the line marks between frames will vary depending on the speed of the vehicle. If the system fails to detect the line marker at high speed, will cause the autonomous driving system make a wrong decision. In this final task, we will perform a comparison analysis of Canny, Laplacian of Gaussian (Marr-Hildreth) and Kirsch's ability on edge detection methods to detect dashed line marks at varying speeds. The results showed that all operators succeeded in achieving the minimum detection target of 80% and obtained the best operators for line marker detection is Kirsch with the highest percentage at all speeds 30, 50 and 80 km / h.

lane-keeping-assist-on-carla

Implementing Lane Keeping Assist (LKA) on CARLA simulator

real-time-hud

Real time, heads up display for vehicles made with RPi 3, camera, CAN connection, and open-source technologies like OpenCV

rl_mixed_policies

Teach a driving agent how to drive using game theoretic mixed policies approach

self-driving-car

Udacity Self-Driving Car Nano Degree

test-someip-service

trafficdetection

We implement a system for vehicle detection and tracking from traffic video using Gaussian mixture models and Bayesian estimation. The system provides robust foreground segmentation of moving vehicles through a K-means clustering approximation as well as vehicle tracking correspondence between frames by correlating Kalman and particle filters.

transformer-models

Deep Learning Transformer models in MATLAB

vehiclelateralcontrol

vehiclerecognition

Vehicle recognition from video

vsomeip

An implementation of Scalable service-Oriented MiddlewarE over IP