Driver Assistance System Having a Plurality of Assistance Functions

• US 20080188996A1
• Filed: 02/15/2006
• Published: 08/07/2008
• Est. Priority Date: 03/01/2005
• Status: Active Grant

• Current Assignee: Robert Bosch GmbH
• Original Assignee: Robert Bosch GmbH
• Inventors: Lucas, Bernhard, Randler, Martin, Wilhelm, Ulf
• Granted Patent: US 8,483,906 B2
• Time in Patent Office: Days
• US Class Current: 701/1
• CPC Class Codes: B60T 2201/02 Active or adaptive cruise control system; Distance control
• CPC Class Codes: B60T 2201/12 Pre-actuation of braking systems without significant braking effect; Optimizing brake performance by reduction of play between brake pads and brake disc
• CPC Class Codes: B60T 8/174 characterised by using special control logic, e.g. fuzzy logic , neural computing
• CPC Class Codes: B60W 30/16 Control of distance between vehicles, e.g. keeping a distance to preceding vehicle
• CPC Class Codes: B60W 40/02 related to ambient conditions
• CPC Class Codes: B60W 50/0097 Predicting future conditions

Abstract

A driver assistance system for motor vehicles has a sensor device for measuring data about the environment of the vehicle, at least two assistance functions, and a data processing device, which analyzes the measured data and generates at least one specific environmental hypothesis for each assistance function, which provides output data in a form prepared for the corresponding assistance function, at least one environmental hypothesis which has a structure divided into a plurality of partial hypotheses being predefined in the data processing device, and the partial hypotheses having such a logical relationship with one another that output data of one partial hypothesis flow into the generation of the other partial hypothesis, and at least two assistance functions directly or indirectly use a shared partial hypothesis.

Claims

1. (canceled)

2. A driver assistance system for a motor vehicle, comprising:

a sensor device for measuring data about an environment of the vehicle;

at least two assistance functions dependent on the measured data; and

a data processing device, which analyzes the measured data and generates at least one specific environmental hypothesis for each assistance function, which provides output data in a form prepared for the corresponding assistance function,

wherein at least one environmental hypothesis which has a structure divided into a plurality of partial hypotheses is predefined in the data processing device, the partial hypotheses having a logical relationship with one another such that output data of one partial hypothesis flow into the generation of another partial hypothesis, and at least two assistance functions directly or indirectly use a shared partial hypothesis.