activity
20192022
most citedNeckSense: A Multi-Sensor Necklace for Detecting Eating Activities in Free-Living Conditions

20 citations · 50 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO20222 cited

Automated Driving Systems Data Acquisition and Processing Platform

Xin Xia, Zonglin Meng, Xu Han +5

This paper presents an automated driving system (ADS) data acquisition and processing platform for vehicle trajectory extraction, reconstruction, and evaluation based on connected…

cs.CV20227 cited

Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather

Jinlong Li, Runsheng Xu, Jin Ma +3

Most object detection methods for autonomous driving usually assume a consistent feature distribution between training and testing data, which is not always the case when weathers…

eess.IV20222 cited

ROMNet: Renovate the Old Memories

Runsheng Xu, Zhengzhong Tu, Yuanqi Du +5

Renovating the memories in old photos is an intriguing research topic in computer vision fields. These legacy images often suffer from severe and commingled degradations such as cr…

cs.RO20211 cited

Hierarchical Road Topology Learning for Urban Map-less Driving

Li Zhang, Faezeh Tafazzoli, Gunther Krehl +4

The majority of current approaches in autonomous driving rely on High-Definition (HD) maps which detail the road geometry and surrounding area. Yet, this reliance is one of the obs…

cs.CV202018 cited

Lane Boundary Geometry Extraction from Satellite Imagery

Andi Zang, Runsheng Xu, Zichen Li +1

Autonomous driving car is becoming more of a reality, as a key component,high-definition(HD) maps shows its value in both market place and industry. Even though HD maps generation…

cs.HC201920 cited

NeckSense: A Multi-Sensor Necklace for Detecting Eating Activities in Free-Living Conditions

Shibo Zhang, Yuqi Zhao, Dzung Tri Nguyen +4

We present the design, implementation, and evaluation of a multi-sensor low-power necklace 'NeckSense' for automatically and unobtrusively capturing fine-grained information about…