SYSTEM, METHOD AND COMPUTER READABLE MEDIUM FOR AN ADAPTIVE-DIRECTIONAL TRANSFORMER FOR REAL-TIME MULTI-VIEW RADAR SEMANTIC SEGMENTATION
Dalbah, Yahia Lahoud, Jean Cholakkal, Hisham
Dalbah, Yahia
Lahoud, Jean
Cholakkal, Hisham
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Department
Computer Vision
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Type
Patent
Date
2025
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Language
English
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Abstract
An automotive control system and method, includes a radar sensor, attached to a vehicle body panel, for receiving radar signals having a frequency, and processing circuitry configured with neural network encoders for encoding multiple frames of Angle-Doppler (AD), Range-Doppler (RD), and Range-Angle (RA) feature maps from the radar signals, an adaptive-directional attention block to sample rows and columns and apply self attention after each sampling instance, and a RD decoder and a RA decoder that generate RD and RA probability maps. Each map is a colorized feature map, with each pixel color representing a predicted class label for objects. An object detection component identifies the objects, and an object distance analysis component predicts a distance to the identified objects. An object velocity component predicts a velocity of the identified objects.
Citation
“SYSTEM, METHOD AND COMPUTER READABLE MEDIUM FOR AN ADAPTIVE-DIRECTIONAL TRANSFORMER FOR REAL-TIME MULTI-VIEW RADAR SEMANTIC SEGMENTATION - Mohamed bin Zayed University of Artificial Intelligence.” . [Online]. Available: https://www.freepatentsonline.com/y2025/0116756.html
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US Patent
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Google Patent