Sensors: Sensor Fusion for Autonomous Vehicles Call for Papers

Special Issue "Sensor Fusion for Autonomous Vehicles"
https://www.mdpi.com/journal/sensors/special_issues/sfav

Deadline: 31 May 2021

Guest Editor:Prof. Dr. Vijay John
Toyota Technological Institute, Nagoya, Japan

Dear collegues,

Autonomous driving and advanced driver assistance systems (ADASs)
research has witnessed rapid progress due to the need to improve the
safety of road users. Typically, different sensors such as visible
cameras, thermal cameras, LIDARs, milliwave radars, etc. are used in
this research. In recent years, researchers have sought to increase
the robustness of various autonomous driving applications through
effective sensor fusion. New methods have been proposed to effectively
fuse these different sensors for various applications such as object
detection, semantic segmentation, behavior prediction etc.

In this Special Issue, we invite contributions dealing with many
aspects of sensor fusion for autonomous vehicles including multi-modal
or multiple sensor registration or calibration, traditional and
machine learning methods for sensor fusion-based perception,
localization, navigation and control, and sensor fusion applications
for autonomous driving.

Prof. Dr. Vijay John
Guest Editor