Navigation for Autonomous Driving

A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).

Deadline for manuscript submissions: closed (1 March 2022) | Viewed by 3077

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Department of Electronics Engineering, Chungnam National University, 99 Daehak-Ro, Yusong-Gu, Daejon 34134, Korea
Interests: GPS/INS; multi-radio integrated navigation system; GF-INS (gyro-free INS); military application of navigation system; GNSS application
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Special Issue Information

Dear Colleagues,

Recently, many researchers have taken an interest in autonomous vehicles. ICT (information and communication technology) companies and carmakers have announced and demonstrated their own autonomous vehicles, and research on autonomous driving for unmanned vehicles such as airplanes, marine vessels, drones, land vehicles, and robots has been carried out. It is expected that autonomous vehicles will change people’s lifestyle significantly. In order for autonomous driving to be realized, navigation, control, communication, smart actuator, environment recognition, driver monitoring, platform, and integration technologies should be developed and integrated. Among the technologies for autonomous driving, navigation technology is a core technology. For more accurate and reliable navigation information, innovative technologies have been introduced. This Special Issue of IJGI (International Journal of Geo-Information) is dedicated to the challenges of navigation for autonomous vehicles and welcomes all aspects of the field, from fundamental navigation technology to application challenges.

Dr. Dong-Hwan Hwang
Guest Editor

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Keywords

  • navigation, GNSS, sensor, fusion, navigation platform, inertial sensor, camera, radar, LIDAR

Published Papers (1 paper)

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Research

20 pages, 1029 KiB  
Article
Unmanned Aerial Vehicle Target Tracking Based on OTSCKF and Improved Coordinated Lateral Guidance Law
by Wei Jiang, Yongxi Lyu and Jingping Shi
ISPRS Int. J. Geo-Inf. 2022, 11(3), 188; https://doi.org/10.3390/ijgi11030188 - 11 Mar 2022
Cited by 2 | Viewed by 2358
Abstract
This paper proposes an approach of target tracking of a ground target for UAVs using Optimal Two-Stage Cubature Kalman Filter and Improved Coordinated Lateral Guidance Law. Firstly, the Optimal Two-Stage Cubature Kalman Filter (OTSCKF) is proposed to estimate the target motion. The OTSCKF [...] Read more.
This paper proposes an approach of target tracking of a ground target for UAVs using Optimal Two-Stage Cubature Kalman Filter and Improved Coordinated Lateral Guidance Law. Firstly, the Optimal Two-Stage Cubature Kalman Filter (OTSCKF) is proposed to estimate the target motion. The OTSCKF combines two-stage filtering technology with CKF to improve the estimation accuracy. Secondly, to keep a constant distance between the UAV and the target, a new guidance law based on the lateral turning equation is proposed and its asymptotic stability is proven. On this basis, a distributed tracking algorithm is designed to balance the phase difference and achieve cooperation among multi-UAVs. Thirdly, numerical experiments are performed for the tracking problems of moving targets and the results verify the effectiveness of the proposed guidance algorithm. Full article
(This article belongs to the Special Issue Navigation for Autonomous Driving)
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