The ability to anticipate pedestrian actions on streets is a safety issue for intelligent cars and
has increasingly drawn the attention of the automotive industry. Estimating when …

Recent automotive research often focuses on automated driving, including the interaction
between automated vehicles (AVs) and so-called “vulnerable road users”(VRUs). While …

Multispectral pedestrian detection is capable of adapting to insufficient illumination
conditions by leveraging color-thermal modalities. On the other hand, it is still lacking of in …

Multispectral pedestrian detection has received extensive attention in recent years as a
promising solution to facilitate robust human target detection for around-the-clock …

Anticipating the intentions of vulnerable road users (VRUs) such as pedestrians and cyclists
is critical for performing safe and comfortable driving maneuvers. This is the case for human …

Anticipating future situations from streaming sensor data is a key perception challenge for
mobile robotics and automated vehicles. We address the problem of predicting the path of …

The increased urbanization and the drive for realizing smart cities have motivated extensive
research and development in the realm of Intelligent Transportation Systems (ITS) in order to …

In intelligent driving, situational assessment (SA) is an important technology, which helps to
improve the cognitive ability of intelligent vehicles in the environment. Uncertainty analysis is …

In the field of remote sensing image applications, RGB and infrared image object detection
is an important technology. The object detection performance can be improved and the …

The traffic situation at an urban intersection is complicated, due to the numerous internal
conflicts and all kinds of traffic accidents. With the objective of improving road safety, the …