Training of vehicles to improve autonomous capabilities

a technology for autonomous vehicles and training, applied in the field of training of vehicles to improve autonomous capabilities, can solve the problems that vehicles that are truly fully autonomous have not yet been developed, and achieve the effect of enhancing autonomous capabilities and improving autonomous functionality

Inactive Publication Date: 2019-05-23
KRISHNAN ASHOK
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, vehicles that are truly fully autonomous have not yet been developed.

Method used

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  • Training of vehicles to improve autonomous capabilities
  • Training of vehicles to improve autonomous capabilities
  • Training of vehicles to improve autonomous capabilities

Examples

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Embodiment Construction

[0065]When examples and embodiments are described to be related to vehicles, these vehicles can include land, air, space, water vehicles, including wheeled, tracked, railed or skied vehicles. Vehicles can be human-occupied or not, powered by any means, and can be used for conveyance, leisure, entertainment, exploration, mapping, recreation, rescue, delivery, fetching, and provision of services, messenger services, communication, transportation, mining, safety, or armed forces. Vehicles can be operated in a range of modes. They can be fully under the control of a human, which is the case for non-autonomous vehicles; they can be fully autonomous, without the need for human intervention, assistance or oversight; or a range of types in between, which can be broadly termed semi-autonomous. Non-autonomous vehicles require a human operator, whereas fully autonomous versions do not require a human operator. All examples of vehicles appearing in this disclosure have automatic transmission, a...

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PUM

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Abstract

Systems and methods to improve performance, reliability, learning and safety and thereby enhance autonomy of vehicles. Human sensors are used to capture human eye movement, hearing, hand grip and contact area, and foot positions. Event signatures corresponding to human actions, reactions and responses are extracted form these sensor values and correlated to events, status and situations acquired using vehicle and outside environment sensors. These event signatures are then used to train vehicles to improve their autonomous capabilities. Human sensors are vehicle mounted or frame mounted. Signatures obtained from events are classified and stored.

Description

BACKGROUND OF THE INVENTION[0001]Autonomous vehicles (AV) are expected to eventually replace the much of the traditional human operation of vehicles. The task of automation is greatly aided by the exponential growth of computing capabilities, including hardware and software. Improved software, lidar, radar, infrared and ultrasound sources are being deployed in test vehicles to improve their autonomy. However, vehicles that are truly fully autonomous have not yet been developed.BRIEF SUMMARY OF THE INVENTION[0002]In an embodiment, human eye movements captured during driving are used to train vehicles to be more autonomous. In another embodiment, additional human sensors gather data from binaural microphones, data related to hand (grip and contact area on steering wheel) and foot position, which are used to train vehicles to improve their autonomous functionality. Eye movement is captured through cameras and smarthphones located on frames mounted on humans or on dashpads of vehicles. ...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G06K9/00G06N20/00A61B3/113A61B5/22A61B5/00
CPCG06K9/00892G06K9/00845G06N20/00A61B3/113A61B5/225A61B5/6893G05D1/0088G05D2201/0213G06N5/04B60W40/09G06V40/18G06V20/46G06V20/597G06N7/01G06V40/70G06V20/59G06F18/214
Inventor KRISHNAN, ASHOK
Owner KRISHNAN ASHOK
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