Vehicle Monitoring Priority Based on Movement Risk Assessment
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Solution Overview
Problem
Conventional remote operation systems for driverless vehicles do not effectively reduce the monitoring load on monitors, who must constantly observe all vehicles to detect potential dangers, leading to increased operational burdens.
Innovation Solution
An information processing method and system that determines a monitoring priority level for vehicles based on their movement information, geographical, and traffic conditions, generating presentation information to help monitors focus on high-priority vehicles, thereby reducing the overall monitoring load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the monitor monitors all vehicles to detect potential dangers, then the safety of the remote operation system is improved, but the monitoring load on the monitor increases
Solution Approach 1:
The patent segments the monitoring task by dividing vehicles into different priority levels (first priority and second priority). The monitor only needs to actively monitor first priority vehicles that are approaching dangerous positions, while second priority vehicles are monitored passively through automatic detection systems. This segmentation reduces the monitor's workload while maintaining safety through targeted attention on critical cases.
Solution Approach 2:
The patent introduces an automatic detection system as an intermediary between the vehicles and the monitor. This intermediary automatically identifies vehicles approaching dangerous positions and generates notifications, filtering out low-priority cases before they reach the monitor. The intermediary handles routine monitoring tasks, allowing the monitor to focus only on critical situations.
2Measurement precision
If the monitor monitors all vehicles continuously, then the detection precision of dangerous situations is improved, but the time consumption for monitoring increases
Solution Approach 1:
The system performs preliminary action by automatically detecting and identifying vehicles approaching dangerous positions before they become critical threats. The automatic detection system continuously scans and pre-screens all vehicles, flagging only those that require immediate monitor attention. This preliminary filtering ensures high detection precision for dangerous situations while reducing the time the monitor needs to spend on routine monitoring.
Solution Approach 2:
The patent applies partial action by implementing continuous automatic monitoring for all vehicles through detection systems, while human monitor attention is applied selectively only to first priority vehicles. The automatic system performs excessive monitoring (continuous surveillance of all vehicles), while human resources are optimized by focusing only on critical cases, achieving both high detection precision and efficient time utilization.
Data Source
AI summary
An information processing method performed using a computer includes: obtaining first position information indicating a first position, the first position being a position of a vehicle that is a monitoring target; obtaining second position information indicating a second position, the second position being a position in which the vehicle is requested to be monitored; determining a monitoring priority level of the vehicle according to movement information relating to movement of the vehicle from the first position to the second position; generating presentation information for monitoring the vehicle, based on the monitoring priority level; and causing a presentation device to output the presentation information.