2021
DOI: 10.1007/s12204-021-2345-x
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Camera-Radar Fusion Sensing System Based on Multi-Layer Perceptron

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Cited by 6 publications
(3 citation statements)
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“…Then, through the coordinate transformation of the camera, the ROI of the target in the image is obtained, followed by object recognition. Yao, Wang, and Qian (2021) employed a multi-layer perceptron model. The camera and radar simultaneously detects targets, then the detection results of camera are associated with radar data.…”
Section: Related Workmentioning
confidence: 99%
“…Then, through the coordinate transformation of the camera, the ROI of the target in the image is obtained, followed by object recognition. Yao, Wang, and Qian (2021) employed a multi-layer perceptron model. The camera and radar simultaneously detects targets, then the detection results of camera are associated with radar data.…”
Section: Related Workmentioning
confidence: 99%
“…The vehicle proving ground centralizes, concentrates and refines all kinds of road conditions that actually exist on the social road, transforms them into typical test pavement as much as possible without distortion, and moderately combines and strengthens to provide assessment intensity with a certain acceleration coefficient to speed up reliability evaluation. 1,2 The proving ground road can apply an excitation load with a stable standard to the vehicle. The test load spectrum data has good repeatability and comparability, and the failure mode can be reproduced.…”
Section: Introductionmentioning
confidence: 99%
“…Using the test load spectrum information of each proving ground, the standardized load model of the proving ground is explored and established, and the correlation between the assessment strength of each proving ground is compared and analyzed, which provides new ideas and references for the integration and applicability of the vehicle durability specification. 1,17,18…”
Section: Introductionmentioning
confidence: 99%