Learning-Based Multi-Sensor Data Fusion for Mobile Robots
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 1424
Special Issue Editors
Interests: multisensor data fusion; mobile perception; intelligent transportation systems
Special Issues, Collections and Topics in MDPI journals
Interests: vision for mobile robotics; autonomous vehicles; multimodal perception and sensors; deep learning; visual odometry and VSLAM; stereovision
Interests: robotic vision; machine learning; multi-sensor data fusion; visio-inertial SLAM; autonomous vehicles
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Traditional and unconventional sensors technologies are being continuously improved, as are processing algorithms. Despite this, autonomous robots' and vehicles' perceptions are still imperfect in degraded and unexpected situations.
Sensor fusion is the key to robust perception in most cases, to benefit from sweet spots of complementary modalities.
Machine learning is currently being applied to process data of any type with state-of-the-art results; one step further is to leverage the mix of modalities with artificial intelligence.
This Issue aims to encourage the publication of i) innovative methods applied to artificial intelligence-based data fusion to multi-sensor perception systems and ii) new interacting frameworks facilitating the integration of deep learning solutions and multi-sensor-based perception systems for autonomous robots.
Particular attention will be paid to contributions providing experimental validation of full-scale mobile robotic systems.
Scope:
AI-based data fusion methods applied to multi-sensor systems composed of the following:
- Projective cameras;
- Event-based cameras;
- Light-field camera (also known as plenoptic cameras);
- Infrared and thermal cameras;
- Polarimetric cameras;
- LiDAR;
- Radar;
- Inertial sensors (IMU);
- 3D Maps (GIS).
Dr. Sergio Rodriguez
Dr. Julien Moreau
Prof. Vincent Frémont
Guest Editors
Manuscript Submission Information
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Keywords
- multi-sensor data fusion
- artificial intelligence
- deep learning
- mobile robotics
- unconventional sensors
