activity
20182023
most citedHierarchical Topometric Representation of 3D Robotic Maps

23 citations · 63 across the 10 of their papers we have counts for

collaborators

10 papers

cs.MM2023

Edge-Assisted Lightweight Region-of-Interest Extraction and Transmission for Vehicle Perception

Yan Cheng, Peng Yang, Ning Zhang +1

To enhance on-road environmental perception for autonomous driving, accurate and real-time analytics on high-resolution video frames generated from on-board cameras be-comes crucia…

cs.CV2023

SUPS: A Simulated Underground Parking Scenario Dataset for Autonomous Driving

Jiawei Hou, Qi Chen, Yurong Cheng +4

Automatic underground parking has attracted considerable attention as the scope of autonomous driving expands. The auto-vehicle is supposed to obtain the environmental information,…

cs.RO2021★ 23 cited

Hierarchical Topometric Representation of 3D Robotic Maps

Zhenpeng He, Hao Sun, Jiawei Hou +2

In this paper, we propose a method for generating a hierarchical, volumetric topological map from 3D point clouds. There are three basic hierarchical levels in our map: $storey - r…

cs.IR2021

QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback

Handong Ma, Jiawei Hou, Chenxu Zhu +6

Pseudo relevance feedback (PRF) automatically performs query expansion based on top-retrieved documents to better represent the user's information need so as to improve the search…

cs.IR2020★ 18 cited

U-rank: Utility-oriented Learning to Rank with Implicit Feedback

Xinyi Dai, Jiawei Hou, Qing Liu +6

Learning to rank with implicit feedback is one of the most important tasks in many real-world information systems where the objective is some specific utility, e.g., clicks and rev…

cs.RO2020

Self-supervised Point Set Local Descriptors for Point Cloud Registration

Yijun Yuan, Jiawei Hou, Andreas Nüchter +1

In this work, we propose to learn local descriptors for point clouds in a self-supervised manner. In each iteration of the training, the input of the network is merely one unlabele…

cs.RO2019★ 1 cited

Fast 2D Map Matching Based on Area Graphs

Jiawei Hou, Haofei Kuang, Sören Schwertfeger

We present a novel area matching algorithm for merging two different 2D grid maps. There are many approaches to address this problem, nevertheless, most previous work is built on s…

cs.RO2019★ 16 cited

Furniture Free Mapping using 3D Lidars

Zhenpeng He, Jiawei Hou, Sören Schwertfeger

Mobile robots depend on maps for localization, planning, and other applications. In indoor scenarios, there is often lots of clutter present, such as chairs, tables, other furnitur…

cs.RO2019★ 3 cited

Area Graph: Generation of Topological Maps using the Voronoi Diagram

Jiawei Hou, Yijun Yuan, Sören Schwertfeger

Representing a scanned map of the real environment as a topological structure is an important research topic in robotics. Since topological representations of maps save a huge amou…

cs.RO2018★ 2 cited

Topological Area Graph Generation and its Application to Path Planning

Jiawei Hou, Yijun Yuan, Sören Schwertfeger

Representing a scanned map of the real environment as a topological structure is an important research in robotics. %is currently an important research. Since topological represent…