Pedestrian recognition and tracking using 3D LiDAR for autonomous vehicle
This paper studies the pedestrian recognition and tracking problem for autonomous vehicles
using a 3D LiDAR, a classifier trained by SVM (Support Vector Machine) is used to …
using a 3D LiDAR, a classifier trained by SVM (Support Vector Machine) is used to …
Person tracking in large public spaces using 3-D range sensors
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 …
environments is presented. Such a piece of information is known to be useful both for …
Live animal assessments of rump fat and muscle score in Angus cows and steers using 3-dimensional imaging
The objective of this study was to develop a proof of concept for using off-the-shelf Red
Green Blue-Depth (RGB-D) Microsoft Kinect cameras to objectively assess P8 rump fat (P8 …
Green Blue-Depth (RGB-D) Microsoft Kinect cameras to objectively assess P8 rump fat (P8 …
[PDF][PDF] Benchmarking intelligent service robots through scientific competitions: The RoboCup@ Home approach
The dynamical and uncertain environments of domestic service robots, which include
humans, require rethinking of the benchmarking principles for testing these robots. Since …
humans, require rethinking of the benchmarking principles for testing these robots. Since …
Estimating children's social status through their interaction activities in classrooms with a social robot
T Komatsubara, M Shiomi, T Kaczmarek… - International Journal of …, 2019 - Springer
We developed a technique to estimate children's social status in classrooms with a social
robot. Our approach observed children's behaviors using a sensor network. We used depth …
robot. Our approach observed children's behaviors using a sensor network. We used depth …
Bootstrapping navigation and path planning using human positional traces
Navigating and path planning in environments with limited a priori knowledge is a
fundamental challenge for mobile robots. Robots operating in human-occupied …
fundamental challenge for mobile robots. Robots operating in human-occupied …
A robust people detection, tracking, and counting system
The ability to track moving people is a key aspect of autonomous robot systems in real-world
environments. Whilst for many tasks knowing the approximate positions of people may be …
environments. Whilst for many tasks knowing the approximate positions of people may be …
Autonomous person-specific following robot
WP Chan, S Radmard, ZQ Hew, J Morris… - arXiv preprint arXiv …, 2020 - arxiv.org
Following a specific user is a desired or even required capability for service robots in many
human-robot collaborative applications. However, most existing person-following robots …
human-robot collaborative applications. However, most existing person-following robots …
A robot centric perspective on the HRI paradigm
N Kirchner, A Alempijevic - Journal of Human-Robot Interaction, 2013 - dl.acm.org
The industrial revolution undoubtedly defined the role of machines in our society, and it
directly shaped the paradigm for human machine interaction-a paradigm which was …
directly shaped the paradigm for human machine interaction-a paradigm which was …
Detecting occluded people for robotic guidance
E Martinson - The 23rd IEEE International Symposium on Robot …, 2014 - ieeexplore.ieee.org
Often overlooked in human-robot interaction is the challenge of people detection. For natural
interaction, a robot must detect people without waiting for them to face the camera, get far …
interaction, a robot must detect people without waiting for them to face the camera, get far …