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LucianZhong's Projects

aa274_autoware_ws icon aa274_autoware_ws

Hands-On example code for Sensor Fusion and Autonomous Driving Stack based on Autoware

ad-xolib icon ad-xolib

C++ library for Parsing OpenScenario (1.1.1) & OpenDrive files (1.7) ASAM Specifications

adas-demo-project icon adas-demo-project

a demo project you can get more acquainted with adas (some sensitive function body was hidden)

adversedrive icon adversedrive

Attacking Vision based Perception in End-to-end Autonomous Driving Models

ai-job-notes icon ai-job-notes

AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

algorithms4-common icon algorithms4-common

🔥Algorithms, 4th Edition 算法4精华笔记,通俗理解,算法收集与强化。

apa_qt icon apa_qt

using qt develop the apa control and planning

apollo icon apollo

An open autonomous driving platform

apollo-note icon apollo-note

Note for Apollo 2.0/2.5 perception, prediction and planning modules

ar-tu-do icon ar-tu-do

ROS & Gazebo project for 1/10th scale self-driving race cars

aslan icon aslan

Open source self-driving software for low speed environments

automatic-parking icon automatic-parking

Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking

autonomous-parking-system icon 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.

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