Multi-Sensor Systems for Object Tracking

Dear Colleagues,

Homogeneous and heterogeneous multisensor 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 monitoring personnel and traffic flow in flats, buildings or even whole cities. Depending on their application, those sensors might be vision-based, inertial measurement units (IMU), LIDARs, and many, many others.

This Special Issue is aimed at representing the latest advances in multisensor 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. Those include but are not limited to:

• Simultaneous localization and mapping (SLAM);
• Motion capture;
• Autonomous vehicles;
• Ubiquitous sensors;
• Wearable sensors;
• Computer vision;
• Inertial measurement units (IMU);
• LiDAR

Dr. Tomasz Hachaj
Guest Editor

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