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Title: Physical context management for a motor vehicle

Abstract

Computer software for and a method of enhancing safety for an operator of a motor vehicle comprising employing a plurality of sensors of vehicle and operator conditions, matching collective output from the sensors against a plurality of known dangerous conditions, and preventing certain activity of the operator if a known dangerous condition is detected.

Inventors:
 [1];  [2];  [1];  [3]
  1. Albuquerque, NM
  2. Sandia Park, NM
  3. (Albuquerque, NM)
Issue Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
971530
Patent Number(s):
7610130
Application Number:
11/489,833
Assignee:
Sandia Corporation (Albuquerque, NM)
Patent Classifications (CPCs):
B - PERFORMING OPERATIONS B60 - VEHICLES IN GENERAL B60W - CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION
A - HUMAN NECESSITIES A61 - MEDICAL OR VETERINARY SCIENCE A61B - DIAGNOSIS
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Dixon, Kevin R, Forsythe, James C, Lippitt, Carl E, and Lippitt, legal representative, Lois Diane. Physical context management for a motor vehicle. United States: N. p., 2009. Web.
Dixon, Kevin R, Forsythe, James C, Lippitt, Carl E, & Lippitt, legal representative, Lois Diane. Physical context management for a motor vehicle. United States.
Dixon, Kevin R, Forsythe, James C, Lippitt, Carl E, and Lippitt, legal representative, Lois Diane. Tue . "Physical context management for a motor vehicle". United States. https://www.osti.gov/servlets/purl/971530.
@article{osti_971530,
title = {Physical context management for a motor vehicle},
author = {Dixon, Kevin R and Forsythe, James C and Lippitt, Carl E and Lippitt, legal representative, Lois Diane},
abstractNote = {Computer software for and a method of enhancing safety for an operator of a motor vehicle comprising employing a plurality of sensors of vehicle and operator conditions, matching collective output from the sensors against a plurality of known dangerous conditions, and preventing certain activity of the operator if a known dangerous condition is detected.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2009},
month = {10}
}

Works referenced in this record:

Toward a Human Emulator: A Framework for the Comprehensive Computational Representation of Human Cognition
journal, October 2001


Visual context capture and analysis for driver attention monitoring
conference, January 2004


Efficient Training of Artificial Neural Networks for Autonomous Navigation
journal, February 1991


Towards learning adaptive workload maps
conference, January 2003


Vision and navigation for the Carnegie-Mellon Navlab
journal, May 1988