Search Results for author: Li-Ta Hsu

Found 3 papers, 0 papers with code

High-Accuracy Absolute-Position-Aided Code Phase Tracking Based on RTK/INS Deep Integration in Challenging Static Scenarios

no code implementations31 Dec 2022 Yiran Luo, Li-Ta Hsu, Yang Jiang, Baoyu Liu, Zhetao Zhang, Yan Xiang, Naser El-Sheimy

First, an absolute code phase is predicted from base station information, and integrated solution of the INS DR and real-time kinematic (RTK) results through an extended Kalman filter (EKF).

Position

LiDAR Data Enrichment Using Deep Learning Based on High-Resolution Image: An Approach to Achieve High-Performance LiDAR SLAM Using Low-cost LiDAR

no code implementations9 Aug 2020 Jiang Yue, Weisong Wen, Jing Han, Li-Ta Hsu

Inspired by the complementariness of 3D LiDAR and camera, this paper proposes to make use of the high-resolution images from a camera to enrich the raw 3D point clouds from the low-cost 16 channels LiDAR based on a state-of-the-art deep learning algorithm.

Autonomous Driving Vocal Bursts Intensity Prediction

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