Remote Driving Sensor Filtering for Lower Data Transmission
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Solution Overview
Problem
Existing vehicle remote instruction systems for autonomous driving vehicles transmit unnecessary sensor information, increasing data capacity, which is inefficient and requires a method to reduce data transmission based on the vehicle's external environment and situation.
Innovation Solution
An autonomous driving electronic control unit configures a transmission information limitation unit to determine which sensor information to transmit based on the vehicle's external situation, setting a limited information range for sensors like cameras and radars, reducing data capacity by only transmitting relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all sensor information is transmitted without considering external situation, then the remote commander receives complete information for decision-making, but the data capacity increases unnecessarily
Solution Approach 1:
The patent applies local quality by transmitting different amounts of sensor information from different sensors based on the specific external situation. For example, when the vehicle goes straight through an intersection without traffic signals, only the second camera (left side) and third camera (right side) information is transmitted, while other sensor information is omitted. This selective transmission based on local situational requirements reduces data capacity while maintaining necessary information quality for remote instruction decision-making.
2Measurement precision
If multiple sensors are used to capture comprehensive external environment, then the measurement precision and coverage improve, but the data transmission burden increases
Solution Approach 1:
The patent extracts only the necessary sensor information based on the external situation and transmission purpose. The autonomous driving electronic control unit determines which sensor information to transmit by analyzing the current situation (e.g., intersection without traffic signal, narrow road, construction site) and extracts only the relevant data from multiple sensors. This extraction approach maintains measurement precision for the specific situation while significantly reducing the transmitted data volume.
Solution Approach 2:
The patent segments the sensor information transmission by dividing it into different categories based on external situations. Different sensor combinations are selected for different scenarios: second and third cameras for intersections without traffic signals, first camera for narrow roads, etc. This segmentation allows the system to maintain high measurement precision for each specific situation while reducing overall data transmission burden by not sending all sensor data continuously.
Data Source
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AI summary
In a vehicle remote instruction system, a remote commander issues a remote instruction relating to travel of an autonomous driving vehicle based on sensor information from an external sensor that detects an external environment of the autonomous driving vehicle. The vehicle remote instruction system sets a range of information to be transmitted to the remote commander among the sensor information detected by the external sensor, as a limited information range, based on the external situation or an external situation obtained based on map information and a trajectory of the autonomous driving vehicle.