Abstract Light Detection and Ranging (LiDAR) is a remote sensing technology widely used
in many areas ranging from making precise medical equipment to creating accurate …

A method for tracking the position, orientation, and height of persons in large public
environments is presented. Such a piece of information is known to be useful both for …

The detection and tracking of moving objects is an essential task in robotics. The CMU‐RI
Navlab group has developed such a system that uses a laser scanner as its primary sensor …

Crowd-centric research is receiving increasingly more attention as datasets on crowd
behavior are becoming readily available. We have come to a point where many of the …

Human–Robot Interaction in Social Robotics explores important issues in designing a robot
system that works with people in everyday environments. Edited by leading figures in the …

In this correspondence paper, a novel robust extended Kalman filter (REKF) for discrete-time
nonlinear systems with stochastic uncertainties is proposed. The filter is derived to …

This paper presents a human detection algorithm and an obstacle avoidance algorithm for a
marathoner service robot (MSR) that provides a service to a marathoner while training. To …

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

In order to effectively plan paths in environments inhabited by humans, robots must
accurately predict human motion. Typical approaches to human prediction simply assume a …

This paper describes an autonomous vehicle testbed that aims at providing the first-and last-
mile transportation services. The vehicle mainly operates in a crowded urban environment …