Overview
This project was built for the Shell Eco-Marathon Autonomous Programming Competition (APC), bringing together two teams that rarely share a codebase: the CoNSeRT Lab on the electrical & electronics side and the Poseidon Team on the mechanical engineering side. The goal was a competitive, reliable self-driving solution for an extremely energy-efficient vehicle.
As Lead Researcher I directed the scientific and technical work — real-time perception and control algorithms, sensor integration, and the autonomous systems stack — coordinating across the two departments to take the vehicle from manual driving to autonomous operation.
Highlights
- Real-time perception pipeline built on ROS and OpenCV for lane and obstacle detection.
- Control algorithms translating perception into steering and speed commands on a low-power vehicle.
- Interdepartmental collaboration spanning electrical/electronics and mechanical engineering.
- Led the technical direction as Lead Researcher across the full development cycle.
Gallery
Vehicle & Sensors
The vehicle, its sensor suite, and the autonomous-driving hardware setup.
Perception & Control
The ROS / OpenCV software stack — detection, planning, and control in action.
Competition & Testing
Track testing and the Shell Eco-Marathon Autonomous Programming Competition.
At a glance
Role
Lead Researcher
Partners
CoNSeRT Lab × Poseidon Team
Timeline
Oct 2024 — May 2025
Event
Shell Eco-Marathon APC