Autonomous Driving Map Segmentation for Travel-Mode Data Reduction
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Solution Overview
Problem
Existing vehicle systems face challenges in efficiently transmitting map information for autonomous driving, as the large data amounts required for accurate navigation are not adequately adapted to changing travel modes, leading to inefficiencies in data transmission and processing.
Innovation Solution
A vehicle system that includes a map processing unit creating local map data based on high accuracy maps, dividing it into regions corresponding to travel modes, and transmitting only necessary data to the autonomous driving control unit, reducing data amount by limiting lane information and incorporating road additional information for improved control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the map processing unit transmits complete local map data to the autonomous driving control unit, then the autonomous driving control can be performed with full map information, but the data transmission volume becomes excessively large
Solution Approach 1:
The map data transmission is segmented based on travel modes. The map processing unit divides local map data into different sets corresponding to different travel modes (e.g., highway mode, urban mode, tunnel mode), and only transmits the segment relevant to the current travel mode to the autonomous driving control unit, reducing overall data volume while maintaining necessary control accuracy
Solution Approach 2:
Different regions of the map data are assigned different quality levels based on their relevance to the current travel mode. High-precision data is transmitted for regions critical to the current travel mode, while lower-precision or omitted data is used for less critical regions, optimizing the balance between control accuracy and data transmission volume
2Adaptability or versatility
If the transmission data includes all lane information, then the autonomous driving control unit can handle all possible driving scenarios, but the data amount increases significantly
Solution Approach 1:
The set of transmission data is dynamically adjusted based on the current travel mode. The map processing unit determines the appropriate data set corresponding to the active travel mode and transmits only that specific set to the autonomous driving control unit, enabling the system to adapt to different travel modes while keeping data transmission volume manageable
Solution Approach 2:
The patent extracts and transmits only the necessary lane information relevant to the current travel mode. For example, in highway mode, only highway lane information is transmitted, while in urban mode, only urban street lane information is transmitted, removing unnecessary data while maintaining adaptability to the current travel context
Data Source
AI summary
A vehicle system includes: a map processing unit that creates local map data based on high accuracy map data and a position of an own vehicle; and an autonomous driving control unit that creates a travel plan for autonomous traveling of the own vehicle based on the local map data and controls traveling of the own vehicle according to the travel plan. The map processing unit creates multiple pieces of transmission data by dividing the local map data so as to correspond to regions on a map and transmits the multiple pieces of transmission data to the autonomous driving control unit. The map processing unit changes a shape and a size of the region on the map corresponding to each piece of transmission data based on selection information which decides a travel mode.