6 citations · 7 across the 6 of their papers we have counts for
6 papers
PLV-IEKF: Consistent Visual-Inertial Odometry using Points, Lines, and Vanishing Points
Tong Hua, Tao Li, Liang Pang +4
In this paper, we propose an Invariant Extended Kalman Filter (IEKF) based Visual-Inertial Odometry (VIO) using multiple features in man-made environments. Conventional EKF-based V…
Timestamp-supervised Wearable-based Activity Segmentation and Recognition with Contrastive Learning and Order-Preserving Optimal Transport
Songpengcheng Xia, Lei Chu, Ling Pei +3
Human activity recognition (HAR) with wearables is one of the serviceable technologies in ubiquitous and mobile computing applications. The sliding-window scheme is widely adopted…
TextSLAM: Visual SLAM with Semantic Planar Text Features
Boying Li, Danping Zou, Yuan Huang +3
We propose a novel visual SLAM method that integrates text objects tightly by treating them as semantic features via fully exploring their geometric and semantic prior. The text ob…
NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping
Junyuan Deng, Xieyuanli Chen, Songpengcheng Xia +4
Simultaneously odometry and mapping using LiDAR data is an important task for mobile systems to achieve full autonomy in large-scale environments. However, most existing LiDAR-base…
RMMDet: Road-Side Multitype and Multigroup Sensor Detection System for Autonomous Driving
Xiuyu Yang, Zhuangyan Zhang, Haikuo Du +7
Autonomous driving has now made great strides thanks to artificial intelligence, and numerous advanced methods have been proposed for vehicle end target detection, including single…
Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition
Songpengcheng Xia, Lei Chu, Ling Pei +2
Human activity recognition (HAR) with wearables is promising research that can be widely adopted in many smart healthcare applications. In recent years, the deep learning-based HAR…