차선 추종 시스템
자동 차선 유지 시스템(ALKS)이라고도 하는 자동 차선 추종 시스템은 자율주행 차량이 표시된 차선 내에서 주행하고 동일 차선의 선행 차량과 충돌을 회피할 수 있도록 지원합니다. 차선 검출, 차량 검출, 센서 융합, 의사 결정 로직, 제어기 컴포넌트를 통합하여 자동차와 트럭의 차선 추종 시스템을 모델링할 수 있습니다. 또한 이러한 컴포넌트에 대한 코드 생성, SIL(Software-in-the-Loop) 검증, HIL(Hardware-in-the-Loop) 검증을 수행할 수도 있습니다. 다음 예제에서는 고속도로 주행 시나리오를 위한 차선 추종 모델과 그 컴포넌트를 설계, 테스트, 검증하는 방법을 보여줍니다.
도움말 항목
시작하기
- Overview of Lane Following System
Learn the basics of modeling and testing automated lane keeping system (ALKS).
자동차를 위한 차선 추종 시스템
- Highway Lane Following
Simulate a lane-following controller and monocular camera-based perception algorithm in the Unreal Engine® simulation environment. - Automate Testing for Highway Lane Following
Automating the testing of the components and generated code for a lane-following application.
트럭을 위한 차선 추종 시스템
- Lane-Keeping System for Self-Driving Trucks
Design a lane-keeping system for self-driving trucks in Simulink® and simulate it with RoadRunner Scenario.
차선 검출
- Design Lane Marker Detector Using Unreal Engine Simulation Environment
Use the Unreal Engine simulation environment to record synthetic sensor data and develop and test a lane marker detection system. - Generate Code for Lane Marker Detector
Generate C++ code for lane marker detector and validate the functional equivalence using software-in-the-loop (SIL) simulation. - Automate Testing for Lane Marker Detector
Automate the testing of a lane marker detector algorithm and generated code.
차량 검출
- Generate Code for Vision Vehicle Detector
Generate deployable code for a monocular-camera-based vehicle detector and validate the functional equivalence with simulation. - Automate Testing for Vision Vehicle Detector
Automate the testing of a vehicle detector and generated code.
센서 융합 및 추적
- Forward Vehicle Sensor Fusion
Simulate sensor fusion and tracking in a 3D simulation environment for automated driving applications. - Automate Testing for Forward Vehicle Sensor Fusion
Automate the testing of a forward vehicle sensor fusion component and generated code. - Automate Real-Time Testing for Forward Vehicle Sensor Fusion
Deploy and test forward vehicle sensor fusion component of highway lane following system in real-time. - Automate PIL Testing for Forward Vehicle Sensor Fusion
Automate processor-in-the-loop (PIL) testing of forward vehicle sensor fusion algorithm on NVIDIA® Jetson™ hardware. - Integrate and Verify C++ Code of Sensor Fusion Algorithm in Simulink
Integrate C++ code of a sensor fusion algorithm in Simulink and evaluate the performance of integrated algorithm.
의사 결정 로직 및 제어
- Lane Following Control with Sensor Fusion and Lane Detection
Simulate and generate code for an automotive lane-following controller. - Generate Code for Highway Lane Following Controller
Generate code for the lane following decision logic and controller, and validate the functional equivalence by using software-in-the-loop (SIL) simulation. - Automate Testing for Highway Lane Following Controller
Automate the testing of a lane following controller and generated code for highway lane following application. - Automate Real-Time Testing for Highway Lane Following Controller
Deploy and test highway lane following controller in real-time. - Automate Testing for Highway Lane Following Controls and Sensor Fusion
Integrate the sensor fusion and controls components of a highway lane following application and test the functionality of this integration. - Automate Real-Time Testing of Highway Lane Following Controller Using ASAM XIL
Deploy a highway lane following controller to a Speedgoat®real-time machine using ASAM® XIL standard.
추천 예제
Highway Lane Following
Simulate a lane-following controller and monocular camera-based perception algorithm in the Unreal Engine simulation environment.
Highway Lane Following with Intelligent Vehicles
Simulate a lane following application in a scenario that contains intelligent target vehicles. The intelligent target vehicles are the non-ego vehicles in the scenario and are programmed to adapt their trajectories based on the behavior of its neighboring vehicles. In this example, you will:
Highway Lane Following with RoadRunner Scenario
Simulate highway lane following application, designed in Simulink, with RoadRunner Scenario.
Highway Lane Following with RoadRunner Scene
Simulate a highway lane following application using a scene created in the RoadRunner 3D scene editing tool.
Generate C++ Message Interfaces for Lane Following Controls and Sensor Fusion
Generate code for message-based communication between components of a highway lane following system.
Lane Keeping Assist with Lane Detection
Simulate and generate code for an automotive lane keeping assist controller.
Lane-Keeping System for Self-Driving Trucks
Design a lane-keeping system for self-driving trucks in Simulink and simulate it with RoadRunner Scenario.
