- 专利标题: Systems and methods for trajectory forecasting according to semantic category uncertainty
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申请号: US17112292申请日: 2020-12-04
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公开(公告)号: US12039438B2公开(公告)日: 2024-07-16
- 发明人: Boris Ivanovic , Kuan-Hui Lee , Jie Li , Adrien David Gaidon , Pavel Tokmakov
- 申请人: Toyota Research Institute, Inc.
- 申请人地址: US CA Los Altos
- 专利权人: Toyota Research Institute, Inc.
- 当前专利权人: Toyota Research Institute, Inc.
- 当前专利权人地址: US CA Los Altos
- 代理机构: Darrow Mustafa PC
- 代理商 Christopher G. Darrow
- 主分类号: G06N3/00
- IPC分类号: G06N3/00 ; B60W30/095 ; G06N3/044 ; G06N3/08 ; B60W60/00 ; G05D1/00
摘要:
Systems, methods, and other embodiments described herein relate to improving trajectory forecasting in a device. In one embodiment, a method includes, in response to receiving sensor data about a surrounding environment of the device, identifying an object from the sensor data that is present in the surrounding environment. The method includes determining category probabilities for the object, the category probabilities indicating semantic classes for classifying the object and probabilities that the object belongs to the semantic classes. The method includes forecasting trajectories for the object based, at least in part, on the category probabilities and the sensor data. The method includes controlling the device according to the trajectories.
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IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N3/00 | 基于生物学模型的计算机系统 |