Research on multi-point monitoring anti-collision system for vehicle auxiliary driving

Gong, Ping; Yang, Jian; Ma, Chenhao; Sun, Yan; Yu, Yuanhua; Hou, Yue

doi:10.1016/j.ijleo.2016.05.059

Cited by 5 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, this algorithm cannot stitch two images from different perspectives. Desay SV [3] installed four cameras at appropriate angles and positions around the vehicle body, completing seamless image stitching. The final displayed around view image has consistent brightness and color balance, and the effect is relatively good.…”

Section: Introductionmentioning

confidence: 99%

Research on security evaluation method for around view monitoring system with active safety warning function

Wang,

Zhang

et al. 2024

Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023)

View full text Add to dashboard Cite

In order to establish an around view monitoring system (AVMS) evaluation method suitable for China's transportation environment, standard requirements, and detection technology level, this article proposes typical testing scenarios and key indicators for AVMS based on the causes of commercial vehicle accidents in China, the operating principles of AVMS, and domestic and foreign AVMS standards such as GB/T 39265-2020. And based on China's testing technology level, propose an AVMS testing plan that meets China's technical level and regulatory requirements. This article not only improves the evaluation method of Chinese AVMS, but also provides reference for the revision of Chinese AVMS standards and system development.

show abstract

Section: Introductionmentioning

confidence: 99%

Research on security evaluation method for around view monitoring system with active safety warning function

Wang,

Zhang

et al. 2024

Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023)

View full text Add to dashboard Cite

show abstract

“…Galvanometric laser scanning (GLS) systems allow for the rapid reflection of the laser spot, with high positional repeatability and accuracy. As a result, GLS systems are common within a wide range of applications, including automotive collision avoidance [ 1 ], medical imaging [ 2 ], and materials processing [ 3 ]. This work focuses on robotic laser processing applications, i.e., remote laser cutting, forming, welding, or marking, that require an expanded workspace and more degrees of freedom than what the GLS systems offer.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Scanning Applied for Flexible and In Situ Calibration of Galvanometric Scanner Systems

Mikkelstrup

Nikolov

Kristiansen

2023

Sensors

View full text Add to dashboard Cite

Galvanometric laser scanner (GLS) systems are widely used for materials processing due to their high precision, processing velocity, and repeatability. However, GLS systems generally suffer from scan field distortions due to joint and task space relationship errors. The problem is further pronounced in robotic applications, where the GLS systems are manipulated in space, as unknown errors in the relative pose of the GLS can be introduced. This paper presents an in situ, data-driven methodology for calibrating GLS systems using 3D scanning, emphasising the flexibility, generalisation, and automated industrial integration. Three-dimensional scanning serves two primary purposes: (1) determining the relative pose between the GLS system and the calibration plate to minimise calibration errors and (2) supplying an image processing algorithm with dense and accurate data to measure the scan field distortion based on the positional deviations of marked fiducials. The measured deviations are used to train a low-complexity Radial Basis Function (RBF) network to predict and correct the distorted scan field. The proposed method shows promising results and significantly reduces the scan field distortion without the use of specialised calibration tools and with limited knowledge of the optical design of the GLS system.

show abstract

“…A two-dimensional (2D) galvanometer is an important optical component. Due to its compact structure, small driving load, and fast response speed, it is widely used in material processing [1,2,3,4], laser projection [5,6,7], optical measurement [8,9], biomedical imaging [10,11], automatic vehicle driving [12], optical communication [13], and other aspects.…”

Section: Introductionmentioning

confidence: 99%

An Online Calibration Method for a Galvanometric System Based on Wavelet Kernel ELM

Zhang

Guo

Zhang

et al. 2019

Sensors

View full text Add to dashboard Cite

The online calibration method of a two-dimensional (2D) galvanometer requires both high precision and better real-time performance to meet the needs of moving target position measurement, which presents some challenges for traditional calibration methods. In this paper, a new online calibration method is proposed using the wavelet kernel extreme learning machine (KELM). Firstly, a system structure is created and its experiment setup is established. The online calibration method is then analyzed based on a wavelet KELM algorithm. Finally, the acquisition methods of the training data are set, two groups of testing data sets are presented, and the verification method is described. The calibration effects of the existing methods and wavelet KELM methods are compared in terms of both accuracy and speed. The results show that, for the two testing data sets, the root mean square errors (RMSE) of the Mexican Hat wavelet KELM are reduced by 16.4% and 38.6%, respectively, which are smaller than that of the original ELM, and the standard deviations (Sd) are reduced by 19.2% and 36.6%, respectively, indicating the proposed method has better generalization and noise suppression performance for the nonlinear samples of the 2D galvanometer. Although the online operation time of KELM is longer than ELM, due to the complexity of the wavelet kernel, it still has better real-time performance.

show abstract

Research on multi-point monitoring anti-collision system for vehicle auxiliary driving

Cited by 5 publications

References 8 publications

Research on security evaluation method for around view monitoring system with active safety warning function

Research on security evaluation method for around view monitoring system with active safety warning function

Three-Dimensional Scanning Applied for Flexible and In Situ Calibration of Galvanometric Scanner Systems

An Online Calibration Method for a Galvanometric System Based on Wavelet Kernel ELM

Contact Info

Product

Resources

About