- 专利标题： PERCEPTUAL LOAD DETERMINATION METHOD, COMPUTER PROGRAM, COMPUTER READABLE MEDIUM, PERCEPTUAL LOAD DETERMINATION SYSTEM AND ADVANCED DRIVING ASSISTANCE SYSTEM
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申请号： EP22208898.1申请日： 2022-11-22
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公开(公告)号： EP4375953A1公开(公告)日： 2024-05-29
- 发明人: ABDELKAWY, Hazem , AL JUNDI, Rahaf , PALMER, Luke , PALASEK, Petar
- 申请人： TOYOTA JIDOSHA KABUSHIKI KAISHA , MindVisionLabs Limited
- 申请人地址： JP Toyota-shi, Aichi-ken 471-8571 1, Toyota-cho
- 专利权人： TOYOTA JIDOSHA KABUSHIKI KAISHA,MindVisionLabs Limited
- 当前专利权人： TOYOTA JIDOSHA KABUSHIKI KAISHA,MindVisionLabs Limited
- 当前专利权人地址： JP Toyota-shi, Aichi-ken 471-8571 1, Toyota-cho
- 代理机构： Cabinet Beau de Loménie
- 主分类号： G06V20/52
- IPC分类号： G06V20/52 ; G06V20/56 ; G06V10/82
摘要：
A method for determining a perceptual load ( PLscenepred) of a person facing a scene, comprising:
S20) updating a scene graph (sg) of the scene (s), updating the scene graph including detecting objects present in the scene, and determining their positions (pi);
the scene graph (sg) comprising a node (ri) for each detected object (oi), the node (ri) comprising a position (pi) of the object (oi);
S30) by passing the scene graph (sg) through a perceptual load determination module (PLDM), determining the global perceptual load value ( PLscenepred), the perceptual load determination module (PLDM) being a convolutional neural network trained to determine the global perceptual load value ( PLscenepred) on the basis of the scene graph (sg).
A perceptual load determination system for implementing the method.
S20) updating a scene graph (sg) of the scene (s), updating the scene graph including detecting objects present in the scene, and determining their positions (pi);
the scene graph (sg) comprising a node (ri) for each detected object (oi), the node (ri) comprising a position (pi) of the object (oi);
S30) by passing the scene graph (sg) through a perceptual load determination module (PLDM), determining the global perceptual load value ( PLscenepred), the perceptual load determination module (PLDM) being a convolutional neural network trained to determine the global perceptual load value ( PLscenepred) on the basis of the scene graph (sg).
A perceptual load determination system for implementing the method.
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