Vehicle Surroundings Data Transmission Controller
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Solution Overview
Problem
Self-driven vehicles often require transmitting large amounts of surroundings data to remote operators for decision-making, leading to inefficient data transmission and potential network fluctuations, especially when only specific data is relevant to the driving situation.
Innovation Solution
A method that determines relevant surroundings data based on the driving situation and transmits only those data to an external processing device, reducing the data rate and file size, allowing for lower-performance wireless transmission and cost-effective communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all recorded surroundings data are transmitted to the remote operator, then the remote operator receives complete information for decision-making, but the data transmission volume becomes excessively large causing network instability and increased costs
Solution Approach 1:
The patent extracts and transmits only the relevant subset of surroundings data that is necessary for the remote operator to make decisions, rather than transmitting all recorded data. This is achieved by identifying and selecting specific data elements based on their relevance to the current driving situation and undecidable events.
Solution Approach 2:
The patent applies different transmission qualities to different data elements based on their relevance. Critical data elements are transmitted with higher priority and detail, while less critical elements are transmitted with lower priority or omitted entirely, creating a differentiated transmission strategy.
2Loss of information
If multiple surroundings sensors are used to monitor the vehicle, then the completeness of surroundings information is improved, but the complexity of data processing and transmission increases
Solution Approach 1:
The patent extracts only the essential information from multiple sensor inputs that is relevant to undecidable driving situations. By filtering out redundant information from multiple sensors and retaining only the critical data elements, the system maintains information completeness while reducing processing complexity.
Solution Approach 2:
The patent creates a universal data structure that can accommodate inputs from multiple different sensor types (cameras, radar, lidar, microphones) while standardizing the output format. This multi-functional approach allows diverse sensor data to be processed through a unified relevant data determination process.
3Reliability
If continuous transmission of surroundings data is maintained, then the remote operator always has current information, but the data transmission costs and network load increase significantly
Solution Approach 1:
The patent implements periodic transmission of relevant data elements based on changes in driving situations or undecidable events. Rather than continuous transmission, the system periodically assesses what data is currently relevant and transmits only those updates, reducing overall transmission volume while maintaining information currency.
Solution Approach 2:
The patent performs preliminary determination of relevant data elements before transmission occurs. By pre-identifying which data elements will be relevant based on the current driving situation and potential undecidable events, the system prepares the minimal necessary data set for transmission, avoiding unnecessary data transfer.
Data Source
AI summary
The disclosure relates to a method for the situational transmission of surroundings data of a vehicle, comprising the steps: determining a driving situation of the vehicle; determining relevant surroundings data from recorded surroundings data based on the driving situation, wherein the relevant surroundings data are a subset of the recorded surroundings data that are relevant to the driving situation; and providing the relevant surroundings data to an external data processing device.