Lane Following Systems

Design lane keeping system for cars and trucks, test system for highway driving scenarios, and deploy system components to target machine

Automated lane-following system, also known as automated lane keeping system (ALKS), assists autonomous vehicles to travel within a marked lane and avoid collision with a lead vehicle in the same lane. You can model a lane-following system for cars and trucks by integrating the lane detection, vehicle detection, sensor fusion, decision logic, and controls components. Further, you can perform code generation, software-in-the-loop (SIL) validation, and hardware-in-the-loop (HIL) validation of these components. These examples show how to design, test, and validate lane following model and its components for highway driving scenarios.

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

Lane Following System for Cars

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.

Lane Following System for Trucks

Lane-Keeping System for Self-Driving Trucks
Design a lane-keeping system for self-driving trucks in Simulink^® and simulate it with RoadRunner Scenario.

Lane Detection

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.

Vehicle Detection

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.

Sensor Fusion and Tracking

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.

Decision Logic and Control

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.

Featured Examples

Highway Lane Following

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

Open Script

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:

Open Example

Highway Lane Following with RoadRunner Scenario

Simulate highway lane following application, designed in Simulink, with RoadRunner Scenario.

Open Example

Highway Lane Following with RoadRunner Scene

Simulate a highway lane following application using a scene created in the RoadRunner 3D scene editing tool.

Open Script

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.

Open Script

Lane Keeping Assist with Lane Detection

Simulate and generate code for an automotive lane keeping assist controller.

Open Model

Lane-Keeping System for Self-Driving Trucks

Design a lane-keeping system for self-driving trucks in Simulink and simulate it with RoadRunner Scenario.

Open Example