Recently, numerous vehicles have been installed with an autonomous emergency braking
(AEB) system for protecting pedestrians. This system helps in avoiding or reducing accidents …

Pedestrian detection is of particular interest to the automotive domain, where an accurate
estimation of a pedestrian's position is the first step towards reliable collision avoidance …

Recent advances in machine-learning, especially in deep neural networks have significantly
accelerated the development and deployment of transport-oriented intelligent designs with …

In autonomous driving, detecting pedestrians is a safety-critical activity, and the decision to
avoid a person must be made as quickly as possible with as little delay as possible. In this …

Accurate identification of pedestrian crossing intention is of great significance to the safe and
efficient driving of future fully automated vehicles in the city. This paper focuses on …

The estimation and prediction of pedestrian motion is of fundamental importance in ITS
applications. Most existing solutions have utilized a particular type of sensor for perception …

Object of this research is to test image processing algorithm under actual usage condition for
assisting device that transmit time-varying spatial information of the pedestrian crosswalk to …

Safe interaction with pedestrians is important for autonomous vehicles in urban
environments. Comprehensive understanding of pedestrian behavior is a challenge for …

Because pedestrians have neither well defined shapes nor well defined behaviors,
detecting and tracking them from a moving vehicle remains a difficult task. To serve as an …

This paper presents a real-time system for pedestrian tracking in sequences of grayscale
images acquired by a stationary camera. The objective is to integrate this system with a …