In recent years, the drone market has had a significant expansion, with applications in
various fields (surveillance, rescue operations, intelligent logistics, environmental …

With the development of sensor fusion technologies, there has been a lot of research on
intelligent ground vehicles, where obstacle detection is one of the key aspects of vehicle …

With the significant development of practicability in deep learning and the ultra-high-speed
information transmission rate of 5G communication technology will overcome the barrier of …

Unmanned vehicles have become a part of everyday life, not only in the air, but also at sea.
In the case of sea, until now this usually meant small platforms operating near shores …

Pedestrian detection appears to be an integral part of a vast array of vision-based
technologies, ranging from item recognition and monitoring via surveillance cameras to …

The wide deployment of multi-modal sensors in various areas generates vast amounts of
data with characteristics of high volume, wide variety, and high integrity. However, traditional …

Sensor fusion is used to solve the localization problem in autonomous mobile robotics
applications by integrating complementary data acquired from various sensors. In this study …

The progress in autonomous driving is also due to the increased availability of vast amounts
of training data for the underlying machine learning approaches. Machine learning systems …

This paper reviews current developments and discusses some critical issues with obstacle
detection systems for automated vehicles. The concept of autonomous driving is the driver …

The electrification of vehicle helps to improve its operation efficiency and safety. Due to fast
development of network, sensors, as well as computing technology, it becomes realizable to …