Research Areas

The major topics of research interest of the BIMI Lab include (but not limited to):

Autonomous Vehicle

We specifically focus on driving control based on behavior cloning using deep learning techniques.

Open Source Car Architecture for Research and education (OSCAR)

Internal Models for Autonomous Driving by Sensorimotor Association

Traffic Sign Detection and Recognition

End to End Driving

Cost Effective Research Platform for Autonomous Vehicle Applications

This platform is a small but scalable research platform for autonomous vehicle applications. The whole framework is designed based on the ROS (Robot Operating System).

Simulation of Self-Driving Car on TORCS

We collected a human driver’s behavior in a racing car simulator. The driver’s view image data with steering angles and throttle values were collected for approximately four hours. Then we trained a Convolutional Neural Network model and had it to drive a racing car. Here is a fully autonomous test drive. Source code can be found at https://github.com/jrkwon/mir_torcs.

We used the same CNN model on a different track to show the flexibility of this approach. The followings show as successful driving on a different track from one where the model was trained.

ROS Gazebo and Rviz with Chevy Bolt

Drive by Wire Testing

Transforming a Model Car to a Self-Driving Car

Intelligent Mobile Robotics and Applications:

  • Architectures, localization, mapping, exploration, navigation
  • Multi-robot systems, coordination, coverage control, task allocation
  • Applications: domestic service applications, commercial, health-care

Wireless sensor networks and applications:

  • Architectures, sensor localizations, communication topologies, coverage
  • Mobile sensor networks, coverage control, workload distribution
  • Energy harvesting strategies
  • Applications: security & surveillance, environmental monitoring, personal health monitoring

Computational intelligence

  • Evolutionary computation: performance enhancement & hardware acceleration
  • Machine learning / Neural networks / Neuroevolution / Neuroinformatics
  • Application of recent bio-inspired strategies for problem solving
https://youtu.be/BJGt0dIr-PY

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