Correction to: Automatic monitoring of steel strip positioning error based on semantic segmentation

Lemos, Aline de Faria; Silva, Leonardo Adolpho Rodrigues da; Nagy, Balázs

doi:10.1007/s00170-020-06053-8

Cited by 2 publications

(2 citation statements)

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“…In this method, the candidate regions were first divided into multiple sub-regions with different classes, and then the corresponding features of these regions were extracted by MR-CNN. Yukun Zhu et al proposed that segDeepM model can improve the results of target recognition and detection by dividing the environment information of target region [10].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Control System of Unmanned Vehicle Based on CAN Controller

Jiang

Fang

2022

Advances in Multimedia

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In order to enable the driverless vehicle formation controller to automatically control the driving of the fleet, an intelligent driverless vehicle control system based on the CAN controller is proposed. Expansion convolution of different expansion rates is used to obtain multi-scale target information and to fuse the feature information at different scales during upsampling to enrich the semantic information. Finally, the driverless CAN bus communication platform was established, the driverless monitoring interface was developed, and the software program was written; experiments on the steering control, speed control, voltage, current, speed, and angular speed acquisition, respectively, were performed. The experimental results show that the average semantic segmentation accuracy of the obstacles in concentrated vehicles, pedestrians, and bicycles reached 84.6%, and the detection and segmentation accuracy of the models was good. Therefore, the unmanned intelligent vehicle control system designed in this paper can meet the performance requirements of the vehicle control. No matter whether the given desired path is a straight line or a curve, the unmanned car can complete the path tracking control quickly, stably, and accurately.

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Section: Introductionmentioning

confidence: 99%

Intelligent Control System of Unmanned Vehicle Based on CAN Controller

Jiang

Fang

2022

Advances in Multimedia

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“…e existence of these errors greatly reduces the accuracy of BeiDou positioning [3]. Eliminating or weakening the influence of various errors in BeiDou positioning is a very important task for high-precision real-time dynamic positioning systems [3,4].…”

Section: Introductionmentioning

confidence: 99%

Research on BeiDou Satellite Positioning Algorithm Based on GPRS Technology

Zhang

Ruan

2021

Mobile Information Systems

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The BeiDou Satellite Navigation System of China can provide users with high precision, as well as all-weather and real-time positioning and navigation information. It can be widely used in many applications. However, new challenges appear with the expansion of the 5G communication system. To eradicate or weaken the influence of various errors in BeiDou positioning, a BeiDou satellite positioning algorithm based on GPRS technology is proposed. According to the principles of the BeiDou Satellite navigation system, the navigation and positioning data are obtained and useful information are extracted and sent to the communication network through the wireless module. The error is corrected by establishing a real-time kinematic (RTK) mathematical model, and the pseudorange is calculated by carrier phase to further eliminate the relativistic and multipath errors. Based on the results of error elimination, the BeiDou satellite positioning algorithm is improved and the positioning error is corrected. The experimental results show that the positioning accuracy and efficiency of the algorithm can meet the actual needs of real-time dynamic positioning systems.

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Correction to: Automatic monitoring of steel strip positioning error based on semantic segmentation

Cited by 2 publications

References 0 publications

Intelligent Control System of Unmanned Vehicle Based on CAN Controller

Intelligent Control System of Unmanned Vehicle Based on CAN Controller

Research on BeiDou Satellite Positioning Algorithm Based on GPRS Technology

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