Multi-Sensor Systems for Object Tracking—2nd Edition

Dear Colleagues,

Homogenous and heterogeneous multi-sensor systems are among the most popular and affordable solutions for object tracking. Sensor-based object tracking can be applied not only to individuals (motion capture, wearable sensors) and autonomous vehicles (self-driving cars and robots), but also to the monitoring of personnel and traffic flow in flats, buildings or even whole cities. Depending on the application, these sensors might be vision-based, inertial measurement units (IMUs), LIDARs, and many others.

This Special Issue aim to represent the latest advances in multi-sensor systems for object tracking. We welcome contributions in all fields of sensor-based object tracking, including new systems, signal processing algorithms, as well as new applications. These include but are not limited to:

• Simultaneous localization and mapping (SLAM);
• Motion capture;
• Autonomous vehicles;
• Ubiquitous sensors;
• Wearable sensors;
• Computer vision;
• Inertial measurement units (IMUs);
• High-energy particles detection with CCD cameras;

Dr. Tomasz Hachaj
Guest Editor

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