Job description

In DAF we build software applications using Matlab Simulink. Simulink also provides a simulation environment in which we can run our applications without needing hardware. In a previous internship assignment, a student made a connection between the Simulink simulator and CARLA (a simulator for autonomous driving research that is based on the Unreal 4 engine). This connection allows us to see the behavior of our code.

A problem with CARLA is that their vehicle models lack features that we need for the tests we want to do. This assignment tries to fix that, we want you to work on adapting CARLA’s vehicle models to support the integration of new sensors and actuators. This involves modifying the existing vehicle framework to accommodate additional hardware components, as well as investigating how to alter the current sensors and actuators within the model. The assignment also includes exploring CARLA’s logging and debugging capabilities to enhance development efficiency and simulation reliability. 
Python scripting will be required. 

This task includes: 

• Analyzing the current CARLA vehicle model architecture with respect to sensors and actuators
• Designing and implementing modifications to integrate new types of sensors (e.g., LiDAR, radar, cameras) and actuators (e.g., steering, throttle, brake)
• Investigating methods to customize and modify existing sensors and actuators in the vehicle model
• Testing and validating the adapted vehicle model within the CARLA simulation environment
• Exploring CARLA’s built-in logging and debugging tools to understand their functionality and limitations
• Documenting the modification process, challenges encountered, and solutions implemented

• Benchmarking performance impacts of added sensors and actuators on simulation speed and accuracy.