ADAS Horizon Accuracy via Sensor Fusion
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Solution Overview
Problem
Current vehicle systems for driver assistance and navigation lack accuracy and reliability due to dependence on sensor update rates and lack of integration with surroundings data, leading to potential safety issues and inefficiencies in position determination and map updates.
Innovation Solution
A vehicle system that combines satellite and vehicle sensor data with surroundings sensor information using a provider unit to enhance the accuracy and reliability of the ADAS horizon, allowing for independent updates and integration with digital maps and dynamic data, including traffic conditions, and includes features like automatic emergency calls and redundant navigation systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the ADAS horizon is provided at the same rate as satellite signal sensor output, then the system complexity is reduced, but the accuracy and up-to-date status of the ADAS horizon deteriorates
Solution Approach 1:
The system performs preliminary fusion of satellite signals with vehicle sensors and surroundings sensors before generating the ADAS horizon. This pre-processing allows the ADAS horizon to be updated at a higher rate than satellite signals alone would permit, improving accuracy without proportionally increasing complexity
Solution Approach 2:
The patent introduces an intermediary processing layer that fuses multiple data sources (satellite signals, vehicle sensors, surroundings sensors) to generate the ADAS horizon. This intermediary layer decouples the ADAS horizon update rate from the satellite signal update rate, allowing independent optimization of each
2Measurement precision
If satellite signal fusion with vehicle and surroundings sensors is performed, then the position determination accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent merges satellite signal processing with vehicle sensor and surroundings sensor processing into a unified position determination system. This consolidation improves accuracy by combining multiple data sources while managing complexity through integrated architecture
Solution Approach 2:
The system creates a multi-functional processing unit that handles satellite signals, vehicle sensors, and surroundings sensors within a single framework. This universal approach allows the same system to perform multiple sensing functions without proportionally increasing complexity
3Reliability
If the ADAS horizon update rate is increased beyond satellite signal output rate, then the reliability and safety are improved, but the loss of time for processing increases
Solution Approach 1:
The system performs preliminary fusion of multiple sensor data sources before ADAS horizon generation, preparing processed data in advance. This allows faster ADAS horizon updates without proportionally increasing real-time processing time, improving reliability while managing processing time loss
Data Source
AI summary
Disclosed herein is assistance, safety and navigation technology for vehicles. In particular, the disclosure relates to a vehicle system and a method for controlling the vehicle system.