Title:
OBJECT UNCERTAINTY MODELS
Document Type and Number:
WIPO Patent Application WO/2022/147382
Kind Code:
A3
Abstract:
Techniques for representing sensor data and predicted behavior of various objects in an environment are described herein. For example, an autonomous vehicle can represent prediction probabilities as an uncertainty model that may be used to detect potential collisions, define a safe operational zone or drivable area, and to make operational decisions in a computationally efficient manner. The uncertainty model may represent a probability that regions within the environment are occupied using a heat map type approach in which various intensities of the heat map represent a likelihood of a corresponding physical region being occupied at a given point in time.
Inventors:
FONSECA RASMUS (US)
KOBILAROV MARIN (US)
MCCLELLAND MARK (US)
RILEY JACK (US)
KOBILAROV MARIN (US)
MCCLELLAND MARK (US)
RILEY JACK (US)
Application Number:
PCT/US2021/072274
Publication Date:
October 06, 2022
Filing Date:
November 08, 2021
Export Citation:
Assignee:
ZOOX INC (US)
International Classes:
G06Q10/04; B60W60/00; G05D1/02
Foreign References:
| US20200174481A1 | 2020-06-04 | |||
| US20200110416A1 | 2020-04-09 | |||
| DE102019110759A1 | 2019-11-07 | |||
| EP3474254A1 | 2019-04-24 |
Attorney, Agent or Firm:
EISENBERG, Andrew, L. et al. (US)
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