Swarm Lane Data Expansion for Accurate Width Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing driver assist systems face challenges in accurately calculating the minimum lane width, especially in complex scenarios like tight curves or winding roads, which can hinder safe lane changes and emergency stops.
Innovation Solution
A computer-implemented method that calculates and expands swarm data with a minimum indicator swarm distance for roadway and lane indicators, enabling improved lane width determination and enhancing driver assist systems by providing this data for automated driving, including emergency assists and parking processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If lane width is calculated by camera in real-time, then measurement precision is improved, but computing time increases and productivity decreases
Solution Approach 1:
The patent pre-calculates and stores lane width information in swarm data during map creation or updates, rather than calculating it in real-time during driving operations. This preliminary action allows the driver assist system to retrieve pre-computed lane width data instantly, resolving the contradiction between measurement precision and computing speed by eliminating real-time computational overhead while maintaining accurate lane width information for emergency maneuvers.
2Measurement precision
If lane width calculation is performed on tight curves or winding roads, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary component (the swarm data system with pre-stored lane width information) that mediates between the complex task of calculating lane width on tight curves and the driver assist system. Instead of directly performing complex real-time calculations in the vehicle's processing system, the intermediary swarm data infrastructure pre-processes this information and delivers it to the vehicle, thereby reducing the complexity burden on the vehicle's onboard systems while maintaining measurement precision.
3Reliability
If swarm data is expanded with minimum indicator swarm distance, then reliability of driver assist system is improved, but data transmission volume increases
Solution Approach 1:
The patent applies local quality by selectively expanding swarm data with minimum indicator swarm distance information only at specific route section positions where lane width information is critical for driver assist operations. Rather than uniformly increasing data transmission volume across all route sections, the system strategically adds distance information only where needed (e.g., at intersections, curves, or areas with complex lane configurations), thereby improving reliability locally without proportionally increasing overall data transmission burden.
Data Source
AI summary
The disclosure relates to a computer-implemented method of expanding swarm data for controlling a motor vehicle by way of a driver assist system, wherein the swarm data for a route section include corresponding indicator swarm data regarding a course of at least two roadway or lane indicators on the route section, and wherein the swarm data are provided by registered roadway or lane indicator data. The method includes calculating, from the indicator swarm data, a minimum indicator swarm distance regarding the at least two roadway or lane indicators at one or more route section positions of the route section, and expanding the indicator swarm data regarding at least one of the at least two roadway or lane indicators with the indicator swarm distance at the one or more route section positions.