초록 ▼

A method of pre-crash prediction of the severity of an imminent crash of road vehicles is disclosed using a pre-crash sensor, a computer system coupled with pre-crash vehicle condition signal sources and a vehicle communication system onboard each of two vehicles involved in a crash. The method incl

A method of pre-crash prediction of the severity of an imminent crash of road vehicles is disclosed using a pre-crash sensor, a computer system coupled with pre-crash vehicle condition signal sources and a vehicle communication system onboard each of two vehicles involved in a crash. The method includes the steps of determining that a collision of the vehicles is imminent, exchanging vehicle crash-related information between the vehicles when an imminent collision is determined, computing crash-defining information onboard each vehicle and predicting onboard each vehicle the severity of the imminent collision whereby occupant protection devices of the vehicles may be deployed in accordance with the predicted severity.

대표청구항 ▼

A method of pre-crash prediction of the severity of an imminent crash of road vehicles is disclosed using a pre-crash sensor, a computer system coupled with pre-crash vehicle condition signal sources and a vehicle communication system onboard each of two vehicles involved in a crash. The method incl

A method of pre-crash prediction of the severity of an imminent crash of road vehicles is disclosed using a pre-crash sensor, a computer system coupled with pre-crash vehicle condition signal sources and a vehicle communication system onboard each of two vehicles involved in a crash. The method includes the steps of determining that a collision of the vehicles is imminent, exchanging vehicle crash-related information between the vehicles when an imminent collision is determined, computing crash-defining information onboard each vehicle and predicting onboard each vehicle the severity of the imminent collision whereby occupant protection devices of the vehicles may be deployed in accordance with the predicted severity. obot"; pub. 1999; pp. 341-355. McGraw et al.; "A Friendly Command, Control, and Information System for Astronomy"; pub. 1996; pp. 356-367. Jackman; "Robotic Control Using Sequential Function Charts"; pub. 1996; pp. 120-128. Mizukawa et al.; "De-facto Standard API for Open and Networked Industrial Robots"; pub. Oct. 1999; pp. 455-462. Leu et al.; "A Telemanufacturing Workcell over the Internet"; pub. Nov. 1998; pp. 230-237. Natale et al.; "Robust Hybrid Force/Position Control with Experiments on an Industrial Robot"; pub. Sep. 19, 1999; pp. 956-961. Nilsson et al.; "Integrated Architecture for Industrial Robot Programming and Control"; pub. Dec. 31, 1999; pp. 205-226. Valera et al.; "Interactive Online Evaluation of Robot Motion Control"; pub. Aug. 22, 1999; pp. 1039-1043. "NEMI Low-cost Controller Project"; pub. Dec. 1996; total pages 392. Sperling; "Designing Applications for an OSACA Control"; pub. Nov. 16, 1997; 5 pages. Lutz et al.; "OSACA: The Vendor-neutral Control Architecture"; pub. 1997; 10 pages. Sperling et al.; "Enabling Open Control Systems: An Introduction to the OSACA System Platform"; pub. May 1996; pp. 1-8. "Requirements of Open Modular Architecture Controllers for Applications in the Automotive Industry"; pub. Dec. 13, 1994; pp. 1-13. Open, Modular Architecture Controls at GM Powertrain; pub. May 14, 1996; pp. 1-33. "Technologies Enabling Agile Manufacturing (TEAM) Intelligent Closed Loop Processing"; pub. Jan. 11, 1996; 30 pages.