Research

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

Autonomous Vehicle

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

Transforming a Model Car to a Self-Driving Car

Simulation of Self-Driving Car on TORCS

We trained a CNN model to predict steering angles from the visual input. Here is an example of our accomplishments.

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.

Autoware

Autoware is an open-source software for urban autonomous driving. It supports followings: 3D Localization, 3D Mapping, Path Planning, Path Following, Accel/Brake/Steering Control, Data Logging, Car/Pedestrian/Object Detection, Traffic Signal Detection, Traffic Light Recognition, Lane Detection, Object Tracking, Sensor Calibration, Sensor Fusion, Cloud-oriented Maps, Connected Automation, Smartphone Navigation, Software Simulation, Virtual Reality.

This means that Autoware can be a good reference for autonomous driving related research.

Gazebo Demo of dbw_mkz

This example is from Dataspeed that developed an ADAS kit for Lincoln MKZ. The demo below shows an example of lane detection in the Gazebo environment.

Projects from Udacity Self-Driving Car Nano Degree Term1

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

Autonomous Vehicle

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

Self-driving car on E-Road track

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

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