Map-Based ADAS Route Modeling for System Load Reduction
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Solution Overview
Problem
The increasing amount of map information required for advanced driver assist systems (ADAS) leads to excessive system load during transmission and modeling, necessitating a method to optimize transmission specifications and reduce system load.
Innovation Solution
A map-based ADAS that linearly simplifies map information by dividing the traveling route into sections, using a road modeler to calculate and transmit section residual distances, average valid gradients, and average valid curvatures, and an ADAS control device to validate and control ADAS functions using this information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If precise map information is transmitted for map based ADAS, then estimation accuracy of traveling situation is improved, but system load during transmission and modeling increases excessively
Solution Approach 1:
The traveling route is divided into multiple sections, and map information is processed section by section rather than transmitting the entire route data at once. This segmentation reduces the amount of data transmitted and processed simultaneously, lowering system load while maintaining estimation accuracy for each section
Solution Approach 2:
Only the necessary road model information (gradient, curvature, speed) is extracted and transmitted from the complete map data, discarding redundant information. This extraction process reduces transmission data volume while preserving the essential elements needed for accurate traveling situation estimation
2Reliability
If complete map information is modeled, then traveling situation estimation is accurate, but transmission data volume increases
Solution Approach 1:
The system extracts only the critical road model parameters (gradient, curvature, speed) from complete map information, transmitting minimal data while maintaining sufficient information for reliable traveling situation estimation
Solution Approach 2:
Instead of transmitting complete map data and filtering at the receiving end, the system pre-processes and filters map information at the transmission end, sending only the essential extracted features that are immediately usable for estimation
Data Source
AI summary
An advanced driver assist system (ADAS) comprises a user interface (UI) configured to receive a destination from a user; a communicator configured to transmit position information of a vehicle; a route information transmission device configured to calculate a current position of the vehicle based on the position information and to transmit road model information by modeling map information of a traveling route from the calculated current position to the destination; and an ADAS control device configured to output a section residual distance for each road model, a section average valid gradient, and a section average valid curvature using the transmitted road model information.