AcousticFusion: Fusing Sound Source Localization to Visual SLAM in Dynamic Environments

no code implementations • 3 Aug 2021 • Tianwei Zhang, Huayan Zhang, Xiaofei Li, Junfeng Chen, Tin Lun Lam, Sethu Vijayakumar

Dynamic objects in the environment, such as people and other agents, lead to challenges for existing simultaneous localization and mapping (SLAM) approaches.

Depth Estimation Object +1

PoseFusion2: Simultaneous Background Reconstruction and Human Shape Recovery in Real-time

no code implementations • 2 Aug 2021 • Huayan Zhang, Tianwei Zhang, Tin Lun Lam, Sethu Vijayakumar

Dynamic environments that include unstructured moving objects pose a hard problem for Simultaneous Localization and Mapping (SLAM) performance.

Pose Estimation Simultaneous Localization and Mapping

Analytics and Machine Learning in Vehicle Routing Research

no code implementations • 19 Feb 2021 • Ruibin Bai, Xinan Chen, Zhi-Long Chen, Tianxiang Cui, Shuhui Gong, Wentao He, Xiaoping Jiang, Huan Jin, Jiahuan Jin, Graham Kendall, Jiawei Li, Zheng Lu, Jianfeng Ren, Paul Weng, Ning Xue, Huayan Zhang

The Vehicle Routing Problem (VRP) is one of the most intensively studied combinatorial optimisation problems for which numerous models and algorithms have been proposed.

BIG-bench Machine Learning

FlowFusion: Dynamic Dense RGB-D SLAM Based on Optical Flow

no code implementations • 11 Mar 2020 • Tianwei Zhang, Huayan Zhang, Yang Li, Yoshihiko Nakamura, Lei Zhang

Dynamic environments are challenging for visual SLAM since the moving objects occlude the static environment features and lead to wrong camera motion estimation.

Motion Estimation Optical Flow Estimation +1