A Tightly-coupled Semantic SLAM System with Visual, Inertial and Surround-view Sensors for Autonomous Indoor Parking-Reference-Cited by-同舟云学术

A Tightly-coupled Semantic SLAM System with Visual, Inertial and Surround-view Sensors for Autonomous Indoor Parking

Published:2020-10-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM International Conference on Multimedia
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Author:

Shao Xuan¹,Zhang Lin¹,Zhang Tianjun¹,Shen Ying¹,Li Hongyu²,Zhou Yicong³

Affiliation:

1. Tongji University, Shanghai, China

2. Tongdun AI Institute, Shanghai, China

3. University of Macau, Macau, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394171.3413867

Reference30 articles.

1. Towards semantic SLAM using a monocular camera

2. Ronald Clark Sen Wang Hongkai Wen Andrew Markham and Niki Trigoni. 2017. VINet: Visual Inertial Odometry as a Sequence to Sequence Learning Problem. arXiv:1701.08376 (2017). Ronald Clark Sen Wang Hongkai Wen Andrew Markham and Niki Trigoni. 2017. VINet: Visual Inertial Odometry as a Sequence to Sequence Learning Problem. arXiv:1701.08376 (2017).

3. Simultaneous localization and mapping: part I

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