Sensors and Artificial Intelligence in Autonomous Vehicles

Dear Colleagues,

Autonomous vehicles (AVs), self-driving cars, and robotaxis have recently attracted a new level of attention from both academia and industry.

Different types of sensors (camera, laser scanner, radars, LiDAR, ultrasound, GPS, etc.) along with AI methodologies, machine learning, deep learning, and large datasets are playing major roles in further development of the AVs with a higher level of intelligence and mobility. Different types of sensors have led to increased safety, efficiency, capabilities, and more accuracies for object detection, 3D road modelling, traffic environment perception, and driver behaviour monitoring.

The Special Issue “Sensors and Artificial Intelligence in Autonomous Vehicles” welcomes open call submissions in the state-of-the-art current and emerging technologies and methodologies in utilisation of single or multi-sensors for vehicle automation and AVs.

Prospective authors are welcome to submit original research (not published or currently under consideration by any other publication or conference) and technical papers in the field. Using sensor(s) technologies, the expected topics include but are not limited to the following:

• Vision, Radar, and LiDAR based perception
• Night vision in challenging lighting conditions
• Multi-modal and multi-sensor data fusion
• Autonomous driving, driverless cars, and robotaxis
• Sensors in resuming the control between human driver and automated driving mode
• Scene understanding and object detection
• Driver behavior monitoring/modelling
• Pedestrian and road users monitoring/modelling
• Advanced driver assistance systems (ADAS)
• Sensor applications in connected and automated vehicles (CAVs)
• AI and machine learning in AVs
• Human factors and safety in self-driving cars
  
  

You may choose our Joint Special Issue in Remote Sensing.

Dr. Mahdi Rezaei
Guest Editor

Manuscript Submission Information

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