Autonomous Vehicle
A competition category in which high school and university students perform autonomous driving tasks on a track representing real traffic scenarios, using only camera-based image processing.
🎯 Objective
The objective of the Autonomous Vehicle category is to enable participants to apply their theoretical knowledge in image processing, autonomous navigation, and mechatronic system design on a real-time autonomous driving platform. The competition aims to holistically evaluate perception, decision-making, control algorithms, and safe driving capabilities.
🚦 Theme
Autonomous driving is performed using only camera-based image processing on a track that includes real-life scenarios such as traffic lights, pedestrian crossings, level crossings, speed bumps, overtaking, dead-end roads, and parking maneuvers.
👥 Participation Requirements and Team Structure
- ✔ Open to high school and university students
- ✔ Teams may consist of up to 3 students
- ✔ An advisor teacher is mandatory for high school teams
- ✔ An advisor is not mandatory for university teams
- ✔ A maximum of 2 students may be present in the competition area at the same time
⚙️ Technical Specifications and Restrictions
🏁 Competition Area and Tasks
- Lane-based road track constructed on a black surface
- The race is initiated by traffic lights
- Tasks include pedestrian crossings, level crossings, and speed bumps
- Vehicle overtaking and dead-end road detection tasks
- Parking task in a red-marked area at the end of the track
📊 Competition Format and Evaluation Criteria
- The competition consists of trial and ranking rounds
- Each task has separate scoring values
- A time coefficient is added for vehicles that complete the track
- The maximum lap duration is 4 minutes
- In case of a tie, the vehicle with the shorter completion time ranks higher