SLAM in dynamic environments via ML-RANSAC
MS Bahraini, M Bozorg, AB Rad - Mechatronics, 2018 - Elsevier
Simultaneous localization and mapping (SLAM) in dynamic environments is an important
problem in robotics navigation, yet it is less studied. In this paper, we present a novel …
problem in robotics navigation, yet it is less studied. In this paper, we present a novel …
Model-free detection and tracking of dynamic objects with 2D lidar
We present a new approach to detection and tracking of moving objects with a 2D laser
scanner for autonomous driving applications. Objects are modelled with a set of rigidly …
scanner for autonomous driving applications. Objects are modelled with a set of rigidly …
On-road vehicle trajectory collection and scene-based lane change analysis: Part i
This two-part paper aims to study lane change behaviors at the tactical level from an on-road
perspective, with a special focus on analyzing the interactions between an ego and …
perspective, with a special focus on analyzing the interactions between an ego and …
Laser-based algorithms meeting privacy in surveillance: A survey
MH Sharif - IEEE Access, 2021 - ieeexplore.ieee.org
Privacy of people is a key factor in surveillance systems. Video camera brings us well-off
color information. How would the privacy be secured then? Besides, privacy protection …
color information. How would the privacy be secured then? Besides, privacy protection …
A new contour-based approach to moving object detection and tracking using a low-end three-dimensional laser scanner
Unlike high-end three-dimensional (3-D) scanners with more than 16 layers which are
mainly used in academia, low-end 3-D scanners with a few layers are being developed by …
mainly used in academia, low-end 3-D scanners with a few layers are being developed by …
Detection and following of moving targets by an indoor mobile robot using microsoft kinect and 2d lidar data
The mobile robot following behavior is frequently considered as an important pre-requisite
while developing autonomous service robots intended to co-exist with humans in a shared …
while developing autonomous service robots intended to co-exist with humans in a shared …
Development of mobile robot target recognition and following behaviour using deep convolutional neural network and 2D range data
In this work, a novel approach allowing a mobile robot to recognize and follow dynamic
targets is proposed. The designed behavior can simplify subsequent development of …
targets is proposed. The designed behavior can simplify subsequent development of …
Model-free detection and following of moving objects by an omnidirectional mobile robot using 2d range data
The ability of mobile robots to detect and track moving targets is frequently considered as an
important behavior that is a necessary pre-requisite while developing autonomous robots …
important behavior that is a necessary pre-requisite while developing autonomous robots …
Slam data association of mobile robot based on improved jcbb algorithm
Y Luo, C Yang, Y Zhang - 2020 IEEE 5th Information …, 2020 - ieeexplore.ieee.org
Data association is an important step in simultaneous localization and mapping (SLAM) for
mobile robots. In order to ensure high association accuracy and reduce the amount of the …
mobile robots. In order to ensure high association accuracy and reduce the amount of the …
[PDF][PDF] An Approach to Real-Time Collision Avoidance for Autonomous Vehicles Using LiDAR Point Clouds.
This paper proposes a novel approach for solving the problem of collision avoidance for
autonomous vehicles starting from data provided by LiDAR sensors. Rather than attempting …
autonomous vehicles starting from data provided by LiDAR sensors. Rather than attempting …