Vehicle Remote Operation With Fallback Control Switching
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Solution Overview
Problem
Existing vehicle control systems lack the ability to seamlessly integrate autonomous and remote operation, limiting their efficiency and safety in navigating environments and preventing collisions.
Innovation Solution
A method and system for controlling vehicles that combines autonomous and remote operation by generating data points from sensors, performing remote station system control, and switching between automatic trajectory control and remote station system control using a switch, allowing for fallback to secondary control modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If purely autonomous vehicle control is used, then the vehicle can operate without human intervention, but it lacks the benefits of user control and may not handle complex situations effectively
Solution Approach 1:
The system dynamically switches between autonomous control mode and remote control mode based on operational needs and system status. The control mode is not fixed but can transition between different states, allowing the vehicle to leverage both autonomous operation capabilities and remote human intervention when necessary.
Solution Approach 2:
The vehicle control system is designed to perform multiple functions by supporting both autonomous control and remote control operations. This multi-functional architecture allows the same vehicle to operate in purely autonomous mode for routine tasks while accepting remote commands for complex or unexpected situations.
2Adaptability or versatility
If purely manual or remote vehicle control is used, then user control benefits are incorporated, but the benefits of autonomous vehicle control are not utilized
Solution Approach 1:
The control system dynamically adjusts between remote control mode and autonomous control mode. When remote control is activated, the system accepts commands from remote operators, but can transition back to autonomous operation when appropriate, ensuring both user control benefits and autonomous capabilities are utilized as needed.
Solution Approach 2:
The vehicle control system maintains universal functionality by supporting both remote control operations and autonomous control operations. This allows the system to accept remote commands when user intervention is beneficial while still capable of independent autonomous operation for routine tasks.
3Ease of operation
If remote station system control is implemented, then trajectory commands can be generated remotely, but the system needs fallback capability to secondary control modes for safety
Solution Approach 1:
The system performs preliminary actions by pre-configuring multiple control modes (autonomous, remote, and secondary control modes) and establishing switch mechanisms in advance. This preparation ensures that when remote control is implemented, fallback capabilities are already in place and can be activated quickly if needed, rather than requiring complex real-time decision-making about mode switching.
4Reliability
If fallback function is implemented to switch between control modes, then safety is improved, but system complexity increases
Solution Approach 1:
The switch mechanism and secondary control modes are pre-configured and prepared in advance as part of the system architecture. This preliminary setup simplifies the actual fallback operation, as the system only needs to activate pre-defined modes rather than creating complex real-time switching logic, thereby improving reliability without excessive complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient and safe vehicle control by integrating the benefits of autonomous and remote operation, enhancing navigation and collision prevention capabilities.
Implementation Method 1
A LiDAR sensor is configured to emit light, which strikes material (e.g., objects) within the vicinity of the LiDAR sensor. Once the light contacts the material, the light is deflected. Some of the deflected light bounces back to the LiDAR sensor.
Implementation Method 2
The LiDAR sensor is configured to measure data pertaining to the light bounced back (e.g., the distance traveled by the light, the length of time it took for the light to travel from and to the LiDAR sensors, the intensity of the light returning to the LiDAR sensor, etc.).
Data Source
AI summary
Systems and methods for controlling a vehicle are provided. The method may comprise generating one or more data points from one or more sensors coupled to a vehicle and performing remote station system control of the vehicle using a remote station system. The performing the remote station system control of the vehicle may comprise, using the remote station system, receiving the one or more data points generated by the one or more sensors and generating a remote trajectory command, and generating, based on the one or more trajectory plot points, one or more driving actions. The method may comprise transmitting the trajectory command to the vehicle and performing a fallback function. Performing the fallback function may comprise determining whether command of the vehicle should fall back to one or more secondary control modes and switching, using a switch, control of the vehicle to the one or more secondary control modes.