Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …

Once limited to the military domain, unmanned aerial vehicles are now poised to gain
widespread adoption in the commercial sector. One such application is to deploy these …

While it is well known that rain may influence the performance of automotive LIDAR sensors
commonly used in ADAS applications, there is a lack of quantitative analysis of this effect. In …

Pavement distress detection (PDD) plays a vital role in planning timely pavement
maintenance that improves pavement service life. In order to promote the development of …

The introduction of autonomous vehicles (AV) will represent a milestone in the evolution of
transportation and personal mobility. AVs are expected to significantly reduce accidents and …

Road traffic congestion can inevitably degrade road infrastructure and decrease travel
efficiency in urban traffic networks, which can be relieved by employing appropriate …

Autonomously sensing collision threats in intelligent mobile machines is a significant
challenge. Inspired by the perfect collision sensing system of locusts, various neural …

In this work, a solution for clustering and tracking obstacles in the area covered by a LIDAR
sensor is presented. It is based on a combination of simple artificial intelligence techniques …

In order to improve vehicle safety, a interaction phase between primary and secondary
safety systems has been defined. These systems use information provided by the primary …