Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 3

Year

2022 1

2019 1

2018 1

Keywords

Dual-comb interferometer 1

Light detection and ranging (LiDaR) 1

Long-term 1

Phase noise 1

Post-correction 1

Ranging 1

Robustness 1

Simultaneous localization and mapping (SLAM) 1

Tight-locking 1

Timing jitter 1

Visual inertial LiDaR navigation (VILN) 1

open ︾

Search scope:

排序： Display mode:

Dual-Comb Ranging Review

Zebin Zhu, Guanhao Wu

Engineering 2018, Volume 4, Issue 6, Pages 772-778 doi: 10.1016/j.eng.2018.10.002

Abstract: Dual-comb ranging is emerging as a powerful tool that exploits phase resolution and frequency accuracyUsing two coherent frequency combs, dual-comb ranging allows time and phase response to be measured rapidlythe responsive bandwidth, ambiguity range, and dynamic measurement characteristics of conventional rangingThis review introduces dual-comb ranging and summarizes the key techniques for realizing this rangingAs optical frequency comb technology progresses, dualcomb ranging shows promise for various professional

Keywords： Ranging Dual-comb interferometer Phase noise Timing jitter Tight-locking Post-correction

HTML PDF Collect

Corrigendum to ‘‘Dual-Comb Ranging” [Engineering 4 (2018) 772–778]

Zebin Zhu, Guanhao Wu

Engineering 2019, Volume 5, Issue 2, Pages 350-350 doi: 10.1016/j.eng.2019.01.005

HTML PDF Collect

Novel robust simultaneous localization and mapping for long-term autonomous robots Research Articles

Wei WEI, Xiaorui ZHU, Yi WANG,weirui9003@gmail.com,xiaoruizhu@hit.edu.cn,wangyi601@aliyun.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 2, Pages 234-245 doi: 10.1631/FITEE.2000358

Abstract: A fundamental task for mobile robots is . Moreover, is an important property for SLAM. When vehicles or robots steer fast or steer in certain scenarios, such as low-texture environments, long corridors, tunnels, or other duplicated structural environments, most SLAM systems might fail. In this paper, we propose a novel robust visual inertial navigation (VILN) SLAM system, including stereo visual-inertial LiDaR odometry and visual-LiDaR loop closure. The proposed VILN SLAM system can perform well with low drift after experiments, even when the LiDaR or visual measurements are degraded occasionally in complex scenes. Extensive experimental results show that the has been greatly improved in various scenarios compared to state-of-the-art SLAM systems.

Keywords： Simultaneous localization and mapping (SLAM) Long-term Robustness Light detection and ranging (LiDaR