Vehicle Precise Map Layer Selection for Autonomous Driving
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Solution Overview
Problem
Autonomous vehicles face challenges in obtaining precise map data for navigation, especially when positioning sensors like LIDAR are limited by weather conditions or high-speed operations, requiring a method to selectively obtain and utilize precise map data from external servers for safe and reliable autonomous driving.
Innovation Solution
A system where a vehicle transmits sensor information, communication efficiency, and driving data to an external server, which selects and transmits relevant precise map layers based on vehicle-specific profile information, enabling the vehicle to perform autonomous driving using optimized map data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all precise map data is transmitted to the vehicle, then the completeness and accuracy of map information is improved, but the communication resource usage and data transmission time increase
Solution Approach 1:
The server extracts and transmits only the specific map layers that are relevant to the vehicle's autonomous driving needs based on the vehicle's profile information, rather than transmitting all available map data. This selective extraction reduces communication overhead while ensuring the vehicle receives necessary information for safe operation.
Solution Approach 2:
Different map layers are provided with different levels of detail and precision based on the specific requirements of the vehicle's sensor system and autonomous driving capabilities. The server tailors the quality and granularity of map data to match the local needs of each vehicle type, optimizing the balance between data completeness and transmission efficiency.
2Reliability
If all precise map data is transmitted to the vehicle, then the completeness of map information is improved, but the communication resource usage increases
Solution Approach 1:
The server identifies and extracts only the essential map layers required for the vehicle's autonomous driving function, excluding redundant information. This selective data transmission significantly reduces communication resource consumption while maintaining the reliability needed for safe autonomous operation.
Solution Approach 2:
The server provides a partial set of map layers that is sufficient for the vehicle's specific autonomous driving capabilities, rather than transmitting the complete dataset. This partial action approach optimizes communication efficiency by avoiding unnecessary data transmission while ensuring adequate information for safe operation.
3Adaptability or versatility
If precise map data is provided without selection, then the versatility for different vehicle types is reduced, but the system complexity is lowered
Solution Approach 1:
The system dynamically adapts the map data provision process to each vehicle's specific profile information, including sensor types and autonomous driving capabilities. The server adjusts which map layers are transmitted based on real-time vehicle characteristics, enabling versatile support for different vehicle types while maintaining a standardized communication interface that does not increase system complexity.
Solution Approach 2:
The server changes the parameters of map data transmission based on vehicle profile information, such as selecting different map layers, precision levels, and data formats suited to each vehicle's sensor system and autonomous driving level. This parameter-based adaptation enables versatility across different vehicle types without requiring complex customizations.
Data Source
AI summary
Provided are a method, performed by an electronic device, of controlling a vehicle, and an electronic device for the same. A method, performed by an electronic device, of controlling a vehicle includes: transmitting, to an external server communicatively connected to the vehicle, as profile information of the vehicle, sensor information regarding at least one sensor mounted on the vehicle, communication efficiency information of the vehicle, and driving information of the vehicle; receiving, from the external server, precise map data related to at least one map layer selected based on the profile information of the vehicle from among a plurality of map layers that are combined to form a precise map and distinguished according to attributes thereof; and controlling the vehicle to perform autonomous driving by using the received at least one precise map data.