車線追従システム

ハイウェイ走行シナリオ用の車線追従システムを設計およびテストし、システムコンポーネントをターゲットマシンに展開

自動車線追従システム (自動車線維持システム (ALKS) とも呼ばれる) は、マークされた車線内を走行し、同じ車線の先行車両との衝突を回避するように、自律型車両を支援します。車線検出、車両検出、センサーフュージョン、判定ロジック、制御の各コンポーネントを統合して、車線追従システムをモデル化できます。さらに、これらのコンポーネントのコード生成、ソフトウェアインザループ (SIL) 検証、およびハードウェアインザループ (HIL) 検証を実行できます。以下の例では、ハイウェイ走行シナリオ用の車線追従モデルおよびそのコンポーネントを設計、テスト、検証する方法を示します。

トピック

入門

Overview of Lane Following System
Learn the basics of modeling and testing automated lane keeping system (ALKS).

車線追従システム

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.

車線検出

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.

車両検出

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.

センサーフュージョンと追跡

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.

判定ロジックと制御

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.

注目の例

Highway Lane Following

Simulate a lane-following controller and monocular camera-based perception algorithm in the Unreal Engine simulation environment.

例を開く

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:

例を開く