Vehicle Surround Model With Standardized Lane Representation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current driver assistance systems face high programming expenditures and integration challenges when implementing new sensor systems, as they require constant monitoring and struggle to reliably detect relevant objects during partially or highly automated driving.
Innovation Solution
A method for producing a surround model that determines vehicle lanes based on objects, free-space boundaries, and roadway limitations using sensor data from various systems, providing an abstract representation of the vehicle's surroundings for improved driver assistance, allowing for easier integration of new sensor systems and reduced programming costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If driver assistance systems use multiple sensor systems for object detection, then measurement precision and reliability improve, but device complexity and programming expenditures increase
Solution Approach 1:
The patent segments the complex sensor system into modular functional units: a surround model unit that processes data from multiple sensors independently, and a separate driver assistance system that receives processed information. This modular segmentation allows each sensor to be processed through standardized interfaces, reducing overall system complexity while maintaining high detection precision through multi-sensor data fusion.
2Reliability
If driver assistance systems continuously monitor all sensor data, then detection reliability improves, but loss of time and processing overhead increase
Solution Approach 1:
The patent extracts and separates critical processing functions into a dedicated surround model unit that operates independently from the main driver assistance system. This unit continuously monitors sensor data and pre-processes information, extracting only relevant objects and their characteristics. This extraction approach maintains continuous monitoring reliability while reducing the time burden on the main system by providing pre-filtered, ready-to-use information.
Solution Approach 2:
The surround model unit performs preliminary processing of sensor data before it reaches the driver assistance system. It pre-identifies objects, determines their properties, and prepares structured information in advance. This preliminary action ensures that when the main system needs to make decisions, the data is already processed and ready, maintaining high reliability without adding processing delays to critical decision paths.
3Measurement precision
If new sensor systems are integrated into existing driver assistance systems, then measurement capabilities improve, but ease of manufacture and integration difficulty worsen
Solution Approach 1:
The patent creates a universal surround model unit that serves multiple driver assistance functions and is designed to accept data from various sensor types through standardized interfaces. This universal architecture allows new sensor systems to be integrated without redesigning the core processing logic, as the surround model unit can accommodate different sensor inputs while maintaining the same output format for various assistance systems, thereby improving ease of manufacture and integration.
Data Source
AI summary
A method provided for producing a model of the surroundings of a vehicle, wherein a lane is determined on the basis of objects, free space boundaries and/or roadway limitations. The lane indicates the zone around the vehicle in which the vehicle can drive freely. The lane includes at least one lane segment, the lane segment comprising at least one lane segment boundary, in particular a front lane segment boundary, a rear lane segment boundary, a left lane segment boundary and a right lane segment boundary. The distance from the vehicle to the lane segment boundary is determined, and the lane is made available to a driver assistance system.