107 citations · 144 across the 11 of their papers we have counts for
9 papers · 1 filter
Towards Long-term Autonomy: A Perspective from Robot Learning
Zhi Yan, Li Sun, Tomas Krajnik +2
In the future, service robots are expected to be able to operate autonomously for long periods of time without human intervention. Many work striving for this goal have been emergi…
Human-centered Benchmarking for Socially-compliant Robot Navigation
Iaroslav Okunevich, Vincent Hilaire, Stephane Galland +4
Social compatibility is one of the most important parameters for service robots. It characterizes the quality of interaction between a robot and a human. In this paper, a human-cen…
3D ToF LiDAR in Mobile Robotics: A Review
Tao Yang, You Li, Cheng Zhao +5
In the past ten years, the use of 3D Time-of-Flight (ToF) LiDARs in mobile robotics has grown rapidly. Based on our accumulation of relevant research, this article systematically r…
Efficient Online Transfer Learning for 3D Object Classification in Autonomous Driving
Rui Yang, Zhi Yan, Tao Yang +1
Autonomous driving has achieved rapid development over the last few decades, including the machine perception as an important issue of it. Although object detection based on conven…
Time-of-Flight LiDAR-based Precise Mapping
Han Wu, Zhi Yan
Last two decades, the problem of robotic mapping has made a lot of progress in the research community. However, since the data provided by the sensor still contains noise, how to o…
Robot Perception of Static and Dynamic Objects with an Autonomous Floor Scrubber
Zhi Yan, Simon Schreiberhuber, Georg Halmetschlager +3
This paper presents the perception system of a new professional cleaning robot for large public places. The proposed system is based on multiple sensors including 3D and 2D lidar,…
EU Long-term Dataset with Multiple Sensors for Autonomous Driving
Zhi Yan, Li Sun, Tomas Krajnik +1
The field of autonomous driving has grown tremendously over the past few years, along with the rapid progress in sensor technology. One of the major purposes of using sensors is to…
Recurrent-OctoMap: Learning State-based Map Refinement for Long-Term Semantic Mapping with 3D-Lidar Data
Li Sun, Zhi Yan, Anestis Zaganidis +2
This paper presents a novel semantic mapping approach, Recurrent-OctoMap, learned from long-term 3D Lidar data. Most existing semantic mapping approaches focus on improving semanti…
Multisensor Online Transfer Learning for 3D LiDAR-based Human Detection with a Mobile Robot
Zhi Yan, Li Sun, Tom Duckett +1
Human detection and tracking is an essential task for service robots, where the combined use of multiple sensors has potential advantages that are yet to be exploited. In this pape…