Sensors and Sensor's Fusion in Autonomous Vehicles
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 99903
Special Issue Editors
Interests: radar navigation; comparative (terrain reference) navigation; multi-sensor data fusion; automotive navigation; radar and sonar target detection and tracking; sonar imaging and understanding; MBES bathymetry; autonomous navigation; artificial intelligence for navigation; deep learning; geoinformatics, underwater navigation
Special Issues, Collections and Topics in MDPI journals
Interests: spatial big data; spatial analysis; artificial neural networks; deep learning; data fusion; processing of bathymetric data; sea bottom modeling; data reduction
Special Issues, Collections and Topics in MDPI journals
Interests: unmanned aerial vehicle technology; autonomous navigation; neural networks; non-GNSS navigation; photogrammetry; real-time photogrammetry; computer vision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Collegaues,
This Special Issue seeks the submission of review and original research articles related to sensors and sensor fusion in autonomous vehicles. Autonomous vehicle navigation has been at the centre of several major developments, both in civilian and defence applications. New technologies like multisensory data fusion, big data processing, and deep learning are changing the quality of areas of applications, improving sensors and systems used. New ideas like 3D radar, 3D sonar, LIDAR, and others are based on autonomous vehicle revolutionary development.
The Special Issue is open to contributions dealing with many aspects of autonomous vehicle sensors and their fusion, like autonomous navigation, multi-sensor fusion, big data processing for autonomous vehicle navigation, sensors related to science/research, algorithms/technical development, analysis tools, synergy with sensors in navigation, and artificial intelligence methods for autonomous vehicle navigation.
Prof. Dr. Andrzej Stateczny
Dr. Marta Wlodarczyk-Sielicka
Dr. Pawel Burdziakowski
Guest Editors
Manuscript Submission Information
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Keywords
- Sensor’s fusion;
- Sensors based on autonomous navigation;
- Comparative (terrain reference) navigation;
- 3D radar and 3D sonar;
- Gravity and geomagnetic sensors;
- LiDAR;
- Artificial intelligence in autonomous vehicles;
- Big data processing;
- Close-range photogrammetry and computer vision methods;
- Deep learning algorithms;
- Fusion of spatial data;
- Processing of sensors data.
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