Driver assistance system for a motor vehicle
By introducing a machine learning module into the driver assistance system, the system rules are adjusted based on driver behavior, which solves the problem that the driver assistance system cannot be personalized, improves the system's acceptability and customer satisfaction, and reduces adjustment costs.
CN122143936APending Publication Date: 2026-06-05ROBERT BOSCH GMBH
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ROBERT BOSCH GMBH
- Filing Date
- 2025-12-04
- Publication Date
- 2026-06-05
AI Technical Summary
Technical Problem
Existing driver assistance systems cannot be effectively personalized to meet drivers' expectations, desires, and preferences, resulting in low acceptance and customer satisfaction.
Method used
The system employs a machine learning module to learn and adjust system rules based on driver behavior, particularly by tracking driver behavior when assistance functions are disabled, and modifying system behavior within safety limits to suit individual driver preferences.
Benefits of technology
This has increased the acceptance and customer satisfaction of driver assistance systems, while simplifying programming on the manufacturer side, reducing tuning costs, and improving the predictability of system behavior.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN122143936A_ABST
Abstract
The invention relates to a driver assistance system for a motor vehicle, having a processor system (14) having an input for sensor signals (S), an output for actuator commands (A) and having a memory (18) in which a set of rules is stored which determine which actuator commands are to be output in a determined sensor signal configuration, characterized by a machine learning module (20) which is set up to learn at least one of the rules from observed driver behavior.
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