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 …
Z Rozsa, T Sziranyi - IEEE Transactions on Intelligent …, 2018 - ieeexplore.ieee.org
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 …
S Gidel, P Checchin, C Blanc, T Chateau… - IEEE Transactions …, 2010 - ieeexplore.ieee.org
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 …
F Bu, T Le, X Du, R Vasudevan… - IEEE Robotics and …, 2019 - ieeexplore.ieee.org
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 …