Implement an automotive adaptive cruise controller using sensor fusion.

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

Implement autonomous emergency braking with a sensor fusion algorithm.

Perform forward collision warning by fusing data from vision and radar sensors to track objects in front of the vehicle.

Execute a forward collision warning application with sensor and vision data replayed live via CAN FD and TCP/IP protocols.

Construct an automated parking valet system using path planning, trajectory generation, and vehicle control techniques.

Construct an automated parking valet system in Simulink^® with Automated Driving Toolbox.

Simulate and generate code for an automotive lane-following controller.

Design and test the planner and controller components of a lane change maneuver system designed for highway driving.

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

Simulate lane following application in a scenario that contains intelligent target vehicles. The intelligent target vehicles are the non-ego vehicles in the scenario that are programmed to adapt their trajectories based on the behavior of its neighboring vehicles. In this example, you will:

Automating the testing of the components and generated code for a lane-following application.

Configure and simulate a highway lane following application using a scene created in RoadRunner™ 3D scene editing tool. This example closely follows the Highway Lane Following example.

Design and test decision logic for negotiating a traffic light at an intersection.

Design and simulate a vehicle to negotiate traffic lights in the Unreal Engine® driving simulation environment.