Remote Vehicle Control Using Roadside Sensors Under Poor Networks
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Solution Overview
Problem
Existing remote driving systems face challenges in ensuring safety due to poor communication performance and network environment issues, which can affect the reliability of video transmission and remote control operations.
Innovation Solution
A vehicle control method that utilizes roadside sensors to transmit road sensor information, which is then used to generate a scene image and display it in a driving simulator, allowing for remote control operations without relying on video transmission from the target vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video image transmission from target vehicle to remote control device is used, then remote driving control can be implemented, but safety is compromised when communication performance is poor or network environment is inadequate
Solution Approach 1:
Roadside sensors serve as intermediary devices that directly capture road environment data and transmit it to the remote control device, eliminating the need for video transmission from the target vehicle. This mediator approach ensures reliable scene information even when the vehicle-to-remote communication channel is poor.
Solution Approach 2:
The system segments the remote driving information flow into two independent channels: (1) road environment information from roadside sensors to remote control device, and (2) control commands from remote control device to target vehicle. This segmentation isolates the critical scene information transmission from vehicle-to-remote communication dependencies.
2Reliability
If roadside sensors are deployed to provide scene information, then communication reliability improves, but system complexity increases
Solution Approach 1:
Roadside sensors are multi-functional infrastructure devices that can serve multiple vehicles simultaneously and provide various types of environmental information (visual, thermal, radar data). This universal approach distributes the sensing burden across infrastructure rather than requiring dedicated sensors in each vehicle.
Solution Approach 2:
The system creates a digital replica of the road scene by capturing physical environmental data through roadside sensors and transmitting it as scene information to the remote control device. This copying approach allows the remote operator to view a faithful representation of the actual road environment without direct video feeds from the vehicle.
3Ease of operation
If on-board cameras are used in target vehicle, then video images can be transmitted, but safety is affected by network environment limitations
Solution Approach 1:
Instead of transmitting video from the vehicle to the remote operator (vehicle-centric approach), the system inverts the information flow by having roadside sensors capture and transmit scene information directly to the remote control device (infrastructure-centric approach). This inversion eliminates the single point of failure at the vehicle-to-remote communication link.
Data Source
AI summary
A vehicle control method, performed by a remote control system, includes receiving road sensor information transmitted from at least one roadside sensor when a target vehicle is on a road; generating, based on the road sensor information, a scene image depicting a scene in which the target vehicle is located; displaying the scene image through a display screen corresponding to a driving simulator; obtaining driving control operation information generated by the driving simulator in response to a driving control operation, the driving control operation information providing traveling instructions based on the driving control operation information for the target vehicle; and transmitting the driving control operation information to the target vehicle.