Remote Instruction Filtering for Autonomous Vehicle Sensor Data
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Solution Overview
Problem
Existing vehicle remote instruction systems for autonomous driving vehicles transmit unnecessary sensor information, increasing data capacity and requiring efficient methods to reduce this while ensuring accurate remote instructions based on external situations.
Innovation Solution
A vehicle remote instruction system that uses a transmission information limitation unit to set a limited information range for sensor data transmission based on the external environment and trajectory of the autonomous driving vehicle, selecting only necessary sensor information and adjusting sensor detection areas as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all sensor information is transmitted to the remote commander, then the remote commander can issue accurate remote instructions, but the data capacity increases
Solution Approach 1:
The transmission information limitation unit extracts only the necessary sensor information required for the remote commander to issue accurate remote instructions, separating essential data from unnecessary data. This extraction process reduces the overall data capacity transmitted while maintaining the reliability needed for accurate remote control decisions.
Solution Approach 2:
Different sensor information is transmitted with different priorities and levels of detail based on the specific external situation and trajectory requirements. Critical sensor data for safety and navigation is transmitted with higher fidelity, while less critical data is reduced or omitted, creating a locally optimized transmission quality that balances accuracy and data volume.
2Loss of information
If unnecessary sensor information is transmitted, then complete information is available, but transmission efficiency decreases
Solution Approach 1:
The system extracts and transmits only the essential sensor information needed for remote instruction issuance, eliminating unnecessary data transmission. This extraction approach maintains the completeness of critical information while significantly improving transmission efficiency by reducing redundant data.
Solution Approach 2:
The transmission information limitation unit dynamically adjusts which sensor information is transmitted based on the current external situation and trajectory requirements. This dynamic adaptation ensures that only relevant information is transmitted at any given moment, optimizing both information completeness and transmission efficiency according to real-time needs.
Data Source
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.