Object detection performed by Autonomous Vehicles (AV) s is a crucial operation that comes
ahead of various autonomous driving tasks, such as object tracking, trajectories estimation …

This paper proposes a model of approach behavior with which a robot can initiate
conversation with people who are walking. We developed the model by learning from the …

Road safety applications demand the most reliable sensor systems. In recent years, the
advances in information technologies have led to more complex road safety applications …

Pedestrian trajectory prediction under crowded circumstances is a challenging problem
owing to human interaction and the complexity of the trajectory pattern. Various methods …

Environment analysis of automatic vehicles needs the detection from 3-D point cloud
information. This paper addresses this task when only partial scanning data are available …

For a robot providing services to people in a public space such as a train station or a
shopping mall, it is important to distinguish potential customers, such as window-shoppers …

Pedestrians are the most vulnerable participants in urban traffic. The first step toward
protecting pedestrians is to reliably detect them in a real-time framework. In this paper, a …

For a robot providing services to people in a public space such as a shopping mall, it is
important to distinguish potential customers, such as window shoppers, from other people …

Pedestrian detection is an important task for human-robot interaction and autonomous
driving applications. Most previous pedestrian detection methods rely on data collected from …

One of the primary tasks undertaken by autonomous vehicles (AVs) is object detection,
which comes ahead of object tracking, trajectory estimation, and collision avoidance …