Vehicle Control Device Merging External Map Data with Sensor Inputs
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Solution Overview
Problem
Current vehicle control systems lack the ability to autonomously drive vehicles optimally and provide warning messages in real-time, especially in complex driving scenarios, due to limitations in merging location information from external servers and other vehicles with sensed data, which affects safety and convenience.
Innovation Solution
A vehicle control device equipped with a communication unit for acquiring location information and a processor that merges map information from external servers with sensed data from the vehicle's surroundings, using V2X modules to receive LDM data and eHorizon modules to align relative locations in lane units, enabling autonomous driving and optimized warning message output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle control systems use traditional sensor-only data processing, then system complexity is low, but autonomous driving accuracy and real-time warning capability are insufficient
Solution Approach 1:
The patent merges map information from external servers with real-time location data from the vehicle's communication unit and sensing unit. This combination integrates multiple data sources (map data, GPS location, sensor data) to create a comprehensive view of the vehicle's environment, thereby improving autonomous driving accuracy without requiring a complete redesign of the control system
Solution Approach 2:
The processor acts as an intermediary that receives and integrates data from multiple sources including the communication unit (which gets map information from external servers), the sensing unit, and the V2X module. This intermediary processing layer coordinates information from diverse sources and produces integrated control decisions, managing system complexity through structured data flow
2Reliability
If vehicle control systems integrate multiple data sources (map information, location data, sensed information), then autonomous driving safety is improved, but information processing time and computational load increase
Solution Approach 1:
The system performs preliminary actions by pre-acquiring map information from external servers and maintaining it in the communication unit before it is needed for decision-making. This allows the processor to quickly integrate pre-loaded map data with real-time location and sensor information during critical driving moments, reducing processing time while maintaining comprehensive safety analysis
Solution Approach 2:
The information processing is segmented into distinct functional units: the communication unit handles map information acquisition, the sensing unit collects real-time data, the V2X module processes vehicle-to-vehicle communications, and the processor integrates these segmented data streams. This segmentation allows parallel processing of different data types, reducing overall information processing time
3Measurement precision
If vehicle control systems process location information from external servers and other vehicles, then warning message accuracy is improved, but data integration complexity increases
Solution Approach 1:
The processor is designed with multi-functionality to handle diverse data types including map information, vehicle location data, sensed environmental information, and V2X communication data. This universal processing capability allows the system to integrate multiple data sources through a single coordinated component rather than requiring separate specialized systems for each data type, thereby improving warning accuracy while managing integration complexity
Data Source
AI summary
The present disclosure relates to a vehicle control device provided in a vehicle and a method of controlling the vehicle. A vehicle control device according to an embodiment of the present disclosure may include a communicator, a sensor, and a processor configured to control the communicator to receive map information from an external server and location information of the another vehicle from the another vehicle, wherein the processor merges the acquired location information of the vehicle and the received location information of the another vehicle into the received map information to control the vehicle based on at least one of the merged map information and the information associated with the vehicle sensed through the sensor.