Title:
RISK INDEX EVALUATING DEVICE, RISK INDEX EVALUATING METHOD, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2019/216427
Kind Code:
A1
Abstract:
Provided is a risk index evaluating device capable of automatically setting a parameter and evaluating a risk index having a high degree of reliability. This risk index evaluating device is provided with: a data sampling unit for sampling state data that have been input; a risk calculating unit for calculating, from the sampled state data, a state risk value, which is a risk index corresponding to the state data; a state risk function approximating unit for generating a state risk function, which is a function approximating the state risk value relating to a new state, on the basis of the sampled state data and the state risk value calculated from the sampled state data; and an output unit for outputting the state risk value for the new state as the risk index, on the basis of the generated state risk function.
Inventors:
MAEDA SHINICHI (JP)
Application Number:
PCT/JP2019/018806
Publication Date:
November 14, 2019
Filing Date:
May 10, 2019
Export Citation:
Assignee:
PREFERRED NETWORKS INC (JP)
International Classes:
G05D1/02; B25J19/06; B60W30/095; G05B13/02; G05B19/4061; G06N20/00; G06Q40/06
Foreign References:
| JP2007133477A | 2007-05-31 | |||
| JP2009295103A | 2009-12-17 | |||
| JP2012041004A | 2012-03-01 | |||
| JP2018043338A | 2018-03-22 | |||
| JP2009288930A | 2009-12-10 |
Other References:
HERBERT, S. L. ET AL.: "FaSTrack: a modular framework for fast and guaranteed safe motion planning", ARXIV. ORG, 21 March 2017 (2017-03-21), XP080758733, Retrieved from the Internet [retrieved on 20190711]
CHOW, Y. ET AL.: "Risk-constrained reinforcement learning with percentile risk criteria", ARXIV.ORG, 6 April 2017 (2017-04-06), XP055651716, Retrieved from the Internet [retrieved on 20190711]
WEISKIRCHER, T. ET AL.: "Predictive guidance and control framework for (semi-) autonomous vehicles in public traffic", IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, vol. 25, no. 6, 2017, pages 2034 - 2046, XP055651720, ISSN: 1063-6536
CHOW, Y. ET AL.: "Risk-constrained reinforcement learning with percentile risk criteria", ARXIV.ORG, 6 April 2017 (2017-04-06), XP055651716, Retrieved from the Internet
WEISKIRCHER, T. ET AL.: "Predictive guidance and control framework for (semi-) autonomous vehicles in public traffic", IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, vol. 25, no. 6, 2017, pages 2034 - 2046, XP055651720, ISSN: 1063-6536
Attorney, Agent or Firm:
NAGAI Hiroshi et al. (JP)
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