Remote Operator Assistance for Vehicle Navigation Commands
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Solution Overview
Problem
In-vehicle navigation systems often fail to recognize spoken commands or locate requested destinations, leading to user frustration, anxiety, and wasted time, as they cannot process voice inputs effectively or connect to remote assistance when local systems are overwhelmed.
Innovation Solution
A system that allows remote assistance by connecting a vehicle's computer to a live operator via a command processing system, which receives eligibility information and establishes connections based on frequency, time, and cost limitations, and uses audio recordings of unsuccessful voice commands to provide navigation information through a network of computers and communication tools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the in-vehicle navigation system attempts to process all voice commands locally, then the system maintains autonomy and avoids external dependencies, but the system fails to recognize commands accurately and cannot handle complex queries
Solution Approach 1:
The navigation system is segmented into local processing components (vehicle computer) and remote processing components (remote server). The local system handles basic commands and system management, while the remote system handles complex voice recognition and query processing. This segmentation allows each component to specialize, improving overall command recognition accuracy without requiring the entire system to be located in one place.
Solution Approach 2:
A remote server acts as an intermediary between the vehicle's navigation system and the user's voice commands. The server receives audio recordings of unsuccessful local attempts, processes these commands remotely with enhanced capabilities, and returns results to the vehicle system. This intermediary enables the system to handle complex queries that exceed local processing capabilities.
2Reliability
If the system connects to remote operators for assistance, then command recognition accuracy improves, but the response time increases and user frustration increases
Solution Approach 1:
The system attempts to process voice commands locally before escalating to remote operators. This preliminary local processing handles routine commands immediately, avoiding remote connection delays. Only when local processing fails does the system initiate a remote connection, ensuring that most commands are handled quickly without unnecessary remote intervention.
Solution Approach 2:
The system implements a feedback mechanism where the remote server receives information about unsuccessful local attempts, including audio recordings and context data. The server processes these failed commands and returns corrected results, creating a feedback loop that improves accuracy without requiring manual user intervention or repeated attempts.
3Adaptability or versatility
If the system allows unlimited remote connections, then user assistance availability increases, but system cost and resource consumption increase
Solution Approach 1:
The system implements partial remote action by attempting local processing first and only engaging remote resources when necessary. This approach provides remote assistance availability selectively rather than continuously, reducing network and computational resource consumption while maintaining the capability to connect when needed.
Solution Approach 2:
The vehicle's navigation system serves itself by maintaining local processing capabilities that can handle routine commands independently. The system only seeks external assistance when local resources are insufficient, reducing dependency on remote resources and minimizing energy consumption associated with constant remote connectivity.
4Productivity
If the system uses automated voice recognition, then operational speed increases, but recognition accuracy decreases leading to user frustration
Solution Approach 1:
Voice recognition processing is segmented between local automated systems and remote human operators. The local system handles straightforward, routine commands with fast automated processing. When the local system fails to recognize or correctly interpret a command, the case is escalated to remote operators who can handle complex or ambiguous commands with human intelligence, achieving both speed and accuracy.
Solution Approach 2:
A remote server acts as an intermediary that receives audio recordings of unsuccessful automated recognition attempts. The server provides a second chance at accurate recognition through alternative processing methods or human review, then returns the corrected command interpretation to the vehicle system, bridging the gap between automated speed and human accuracy.
Data Source
Figure 1
Figure 2
Figure 3A~3B
AI summary
Various embodiments relate to remote operator assistance for one or more user commands at a vehicle. The operator assistance may occur via a vehicle computing system. One or more instances of an unsuccessful attempt to perform a user command may be received by the vehicle computing system. After detection of a predetermined number of instances, a connection may be established, via the vehicle computing system, with a remotely located system. The remotely-located system may be operated by a human operator in order to assist with performance of the user command. An information exchange may be facilitated between the vehicle and the remotely located system operated by the human operator. The information exchange may relate to the user command. The user command may be performed in the vehicle based on information obtained from the remotely-located system.