Remote Vehicle Control Using Trajectory and Situation Imaging
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Solution Overview
Problem
Current self-driving vehicle technologies face challenges in ensuring continuous safe operation, especially when drivers become unfit to drive due to health issues or system limitations, leading to potential accidents and increased costs related to vehicle retrieval and maintenance.
Innovation Solution
A method and system for remotely monitoring and controlling vehicles using sensor systems, driver assistance systems, and remote controls to transmit and receive trajectory and situation images, allowing for autonomous or remote operation to prevent accidents and ensure safe vehicle management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If completely automated driving systems are implemented, then productivity and service capabilities are improved, but reliability deteriorates when system limits are reached or drivers become unfit to drive
Solution Approach 1:
A remote control device serves as an intermediary between the automated vehicle system and human operators. When the automated driving system reaches its limits or detects driver unfitness, the remote control device receives situation images and trajectory data from the vehicle, processes this information, and transmits control commands back to the vehicle, ensuring continuous safe operation without requiring immediate human intervention at the vehicle location.
Solution Approach 2:
The control architecture transitions from a single-dimension local control (driver or onboard system only) to a multi-dimension distributed control system. The remote control device operates in a separate spatial dimension, receiving data wirelessly from the vehicle and transmitting commands back, creating a distributed control loop that enhances system reliability by removing the constraint of requiring a fit driver to be physically present in the vehicle.
2Reliability
If drivers are required to be fit to drive at all times, then safety is improved, but loss of time increases when drivers need breaks or become unfit during long-distance transport
Solution Approach 1:
The driving task is extracted from the physical driver in the vehicle and transferred to a remote operator. The driver can take breaks or be replaced without affecting vehicle operation, as the remote control device continues to monitor the situation and control the vehicle using received trajectory and situation image data, eliminating the need for driver changes during long-distance transport.
Solution Approach 2:
The remote control system enables continuous vehicle operation without interruption for driver breaks. The system continuously receives situation images and trajectory data from the vehicle, processes this information in real-time, and maintains control commands, ensuring the useful action of vehicle transport continues uninterrupted even when the original driver needs to rest or becomes unfit.
3Adaptability or versatility
If remote control capability is added to automated vehicles, then adaptability is improved for handling system limits and driver unfitness, but device complexity increases
Solution Approach 1:
The remote control device is pre-configured with the capability to receive situation images and trajectory data from the automated vehicle system. Communication interfaces and data processing functions are established in advance, allowing the system to immediately respond to emergency situations or driver unfitness without requiring complex real-time setup or additional hardware integration during critical events.
Data Source
AI summary
A method of remotely controlling a vehicle involves creating an exterior situation image for the vehicle (1) using a sensor system (2) for detecting the surroundings of the vehicle. A trajectory of the vehicle is specified by a driver assistance system (3) of the vehicle. The exterior situation image and the trajectory are transmitted wirelessly to a remote control (7) that is arranged spatially separately from the vehicle. The vehicle is controlled by the remote control based on the trajectory and the exterior situation image.