Main goal

Develop ROS 2 control software that converts a low‑speed campus EV’s brake, throttle or steering into a closed‑loop drive‑by‑wire subsystem running on an NVIDIA Jetson.

Companion project

This software role runs in parallel with a separate Mechatronics‑Hardware internship (see “Autonomous Vehicle Retrofit – Hardware” on Riipen). If you prefer to work as a pair with a hardware‑focused teammate, mention it in your application.

Key tasks

1. Tool scan (OSCC, raptor‑dbw‑ros2).
2. Evaluate linear‑actuator vs. DAC throttle schemes.
3. Collaborate with hardware intern on sensor limits.
4. Integrate CAN messages with Telebotics safety ECU.

Desired outcomes

• Explain drive‑by‑wire principles for low‑speed autonomous vehicles.
• Port and customise open‑source ROS 2 nodes (OSCC / raptor‑dbw‑ros2).
• Implement a CAN watchdog that triggers an e‑stop if latency > 150 ms.
• Tune PID/ramp parameters to reach < 150 ms actuation at ≤ 10 km h‑1.
• Publish code and logs to GitHub.

Deliverables

• ROS 2 package (nodes, launch files, README).
• 5–7‑slide executive deck on latency results & risks.

Recommended IBM SkillsBuild course: Python for Data Science.