TransFusionOdom: Transformer-Based LiDAR-Inertial Fusion Odometry Estimation

Author:

Sun Leyuan1ORCID,Ding Guanqun2,Qiu Yue3,Yoshiyasu Yusuke3ORCID,Kanehiro Fumio4ORCID

Affiliation:

1. CNRS-AIST Joint Robotics Laboratory (JRL), IRL, and the Computer Vision Research Team, Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan

2. Digital Architecture Research Center (DigiARC), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan

3. Computer Vision Research Team, Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan

4. CNRS-AIST Joint Robotics Laboratory (JRL), IRL, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan

Funder

Japan Science and Technology (JST) SPRING Fellowship Program

Japan Society for the Promotion of Science (JSPS) KAKENHI in Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Reference80 articles.

1. Are we ready for autonomous driving? The KITTI vision benchmark suite

2. An image is worth 16 × 16 words: Transformers for image recognition at scale;dosovitskiy;arXiv 2010 11929,2020

3. Coupled adversarial learning for semi-supervised heterogeneous face recognition

4. Smoothing and Differentiation of Data by Simplified Least Squares Procedures.

5. DeepLO: Geometry-aware deep LiDAR odometry;cho;arXiv 1902 10562 Icsl,2019

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