Remote Vehicle Control via Controller Bot Segmentation
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Solution Overview
Problem
Monitoring and controlling a large fleet of autonomous vehicles is challenging due to the difficulty in managing and coordinating their operations remotely, especially when assistance is needed.
Innovation Solution
A remote vehicle control system that includes a vehicle control system with a camera and navigation system, allowing operators to monitor and control vehicles through a network, using a controller bot that can link to vehicle graphics on a display to perform control actions such as steering, accelerating, and braking, enabling intuitive management of multiple vehicles from a central location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a large fleet of autonomous vehicles is monitored and controlled remotely, then the ability to provide assistance and supervision is improved, but the difficulty of managing and coordinating operations increases
Solution Approach 1:
The fleet management system is segmented into individual vehicle modules, each with its own control bot representation. This allows operators to manage vehicles independently through discrete graphical interfaces rather than attempting to control the entire fleet as a single complex system, reducing the perceived management difficulty while maintaining comprehensive supervision capability
Solution Approach 2:
A central server acts as an intermediary between vehicles and operators, receiving data from multiple vehicles and presenting it through a unified graphical interface. This mediator consolidates complex fleet information into manageable presentations, allowing operators to supervise and assist vehicles without directly handling the complexity of coordinating entire fleet operations
2Productivity
If multiple vehicles are monitored and controlled from a central location, then operational efficiency is improved, but the complexity of the control system increases
Solution Approach 1:
The system creates graphical copies (control bots) of physical vehicles that represent each vehicle's state and control interface. These graphical representations allow operators to interact with virtual models of vehicles rather than directly managing complex physical systems, simplifying the control interface while enabling efficient monitoring and control of multiple vehicles from a central location
Solution Approach 2:
The graphical control bot interface serves multiple functions simultaneously: it displays vehicle location, provides control inputs, shows operational status, and enables communication. This multi-functional interface consolidates what would otherwise require multiple separate systems into a single universal control mechanism, improving operational efficiency without proportionally increasing system complexity
Data Source
AI summary
The disclosure describes systems and methods including for monitoring and remotely controlling a fleet of autonomous vehicles. The remote vehicle control system determines a control input to control a vehicle based on an action performed on or with a controller bot. The controller bot is configured for use on a horizontal display that displays a map and a vehicle graphic at a location on the map.