Purpose
Reseach on various topics for the development of safe and comfortable autonomous driving systems and intelligent transportation systems.
Example of autonomous driving systems
- Develop adaptive software determining a driving route at runtime, on top of autonomous driving software framework Autoware and an autonomous driving simulator Carla
- Develop software to control a vehicle safely using reinforcement learning
- Develop software to make that passengers can feel comfortable by monitoring passengers’ biometric information and change the driving style adaptively.
- develop a driver attention manage system, so that drivers can take over the vehicle control appropriately in an emergency situation
Example of intelligent transportation systems
- Develop software to control safe train operations using linear coefficient programming and synthesis techniques.
- Develop transfer learning method in reinforcement learning-based traffic signal control for road condition change (e.g., accident)
- Develop blockchain-based cooperative incentive system for emergency vehicle passing
Tool
- Autonomous driving simulators: Carla, Autoware, SUMO
- Biometric analysis: estimation of passenger comfort level by EEG
- Vehicle control: route planning (search algorithm), behavior planning (reinforcement learning)
- Operation management: traffic signal control (reinforcement learning, multi-agent), railway operation management (linear coefficient planning, controller synthesis), emergency vehicle passing control (blockchain, smart contract)
