Remote Vehicle Monitoring for Obstacle Stop and Restart Control
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Solution Overview
Problem
The existing remote monitoring systems for autonomous vehicles face challenges in ensuring safety due to insufficient detection performance of autonomous sensors and communication interruptions, which can lead to unreliable vehicle stops and restarts.
Innovation Solution
A remote monitoring system that includes an autonomous vehicle equipped with sensors, a camera image transmitter, obstacle detection, stop control, and restart control units, communicating with a remote monitoring center to perform duplex monitoring, allowing for automatic stops and controlled restarts based on camera images and communication status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous sensors are used for obstacle detection, then the vehicle can operate autonomously, but the detection performance is insufficient and reliability is reduced
Solution Approach 1:
A remote monitoring center acts as an intermediary between the autonomous vehicle and the external environment. The center receives camera images from the vehicle, performs obstacle detection remotely, and provides guidance signals back to the vehicle. This mediator compensates for the insufficient detection capability of the vehicle's autonomous sensors.
Solution Approach 2:
The system merges local autonomous detection (using the vehicle's sensors) with remote monitoring (using the remote center's processing capabilities). By combining these two detection systems, the overall reliability of obstacle detection is improved while maintaining autonomous operation.
2Measurement precision
If remote monitoring is implemented to ensure safety, then detection accuracy is improved, but communication interruptions cause unreliable vehicle control
Solution Approach 1:
The vehicle is equipped with autonomous obstacle detection and stop control functions that can operate independently before needing remote communication. When communication is interrupted, the vehicle can still detect obstacles and stop automatically, ensuring continuous safety without requiring real-time communication.
Solution Approach 2:
The vehicle performs self-monitoring and self-control for obstacle detection and stopping. The autonomous sensor and stop control unit enable the vehicle to service its own safety needs without constant remote intervention, making the system reliable during communication interruptions.
3Reliability
If the vehicle stops automatically when obstacles are detected, then safety is improved, but frequent stops reduce productivity and occupant comfort
Solution Approach 1:
The remote monitoring center provides feedback signals to the vehicle, including departure signals that authorize resumption of running. This feedback mechanism allows the vehicle to stop when necessary for safety and then resume operation efficiently, optimizing both safety and productivity.
Solution Approach 2:
The vehicle's operating state is dynamically adjusted based on detection results and remote monitoring feedback. The vehicle can switch between running, reduced speed, and stopped states appropriately, balancing safety requirements with productivity and comfort considerations.
4Measurement precision
If the vehicle runs at reduced speed to improve sensor detection, then detection accuracy is improved, but occupant comfort is reduced
Solution Approach 1:
The vehicle performs preliminary autonomous obstacle detection using its sensors before reducing speed or stopping. This preliminary detection allows the vehicle to maintain normal speed when no obstacles are present, improving comfort while still ensuring detection accuracy when needed.
Data Source
AI summary
An autonomous running vehicle transmits a camera image around the vehicle photographed by a camera to a remote monitoring center. An obstacle is detected on the basis of information obtained from autonomous sensors including the camera. When an obstacle is detected, the autonomous running vehicle is automatically stopped. The remote monitoring center determines, when the autonomous running vehicle automatically stops, whether or not the run of the autonomous running vehicle is permitted to restart on the basis of the received camera video. When it is determined that the autonomous running vehicle can be restarted, a departure signal is transmitted to the autonomous running vehicle. When the departure signal is received from the remote monitoring center, the autonomous running vehicle restarts running.