Autonomous Vehicle Remote Path Correction for Misrecognized Obstacles
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Solution Overview
Problem
Autonomous vehicles face challenges in maintaining reliable remote control due to misrecognized obstacles during autonomous driving, leading to difficulties in following the intended path, which affects user convenience and commercialization of autonomous driving technologies.
Innovation Solution
An autonomous vehicle system that includes a display device for augmented reality to visualize misrecognized obstacles, a processor to transmit and delete such obstacles, and a control system for generating and approving remote control paths, ensuring intuitive path changes and reliable navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous driving control is implemented without remote control intervention, then automation level is improved, but reliability deteriorates due to misrecognized obstacles
Solution Approach 1:
A remote control server acts as an intermediary between the autonomous vehicle and the operator. When misrecognized obstacles are detected, the server transmits image data and obstacle information to the operator for verification. This intermediary system allows autonomous driving to operate while providing a safety net for correcting recognition errors, thus maintaining both high automation and reliability.
2Reliability
If remote control intervention is added to correct misrecognized obstacles, then reliability is improved, but device complexity increases
Solution Approach 1:
The system implements self-service by automatically detecting misrecognized obstacles through sensor data analysis and initiating the remote verification process without requiring continuous operator monitoring. The autonomous vehicle identifies when intervention is needed, transmits relevant data to the remote server, and automatically implements corrected paths once verified, reducing the burden on operators while maintaining reliability.
Solution Approach 2:
The system performs preliminary actions by pre-processing sensor data to identify potential misrecognized obstacles before they cause driving errors. The remote control server pre-loads image data and obstacle information for quick verification when needed, and prepares corrected driving paths in advance, reducing the response time and complexity during actual intervention scenarios.
3Measurement precision
If misrecognized obstacles are deleted through remote control, then driving path accuracy is improved, but loss of time occurs during verification and correction
Solution Approach 1:
The system applies partial action by selectively initiating remote verification only for suspected misrecognized obstacles rather than continuously verifying all detected obstacles. The autonomous vehicle's recognition system handles routine situations independently, while remote verification is activated only when anomalies are detected, minimizing time loss while maintaining high accuracy for critical cases.
4Ease of operation
If augmented reality display is used to show driving path changes, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The augmented reality display merges the virtual driving path information with the real-world visual field of the driver. By overlaying path guidance directly onto the driver's natural view through the windshield or heads-up display, the system combines digital information with physical reality, improving ease of operation without requiring separate displays or diverting the driver's attention.
Data Source
AI summary
An autonomous vehicle may include a display device configured to display a driving path of the autonomous vehicle; and an autonomous driving control apparatus including a processor that displays a situation in which driving of the driving path is impossible on the display device in augmented reality when the situation in which the driving of the driving path is impossible occurs due to an external environment during autonomous driving of the autonomous vehicle, transmits information related to a misrecognized obstacle to a control system when receiving a request for deleting the misrecognized obstacle, and receives a driving path in which the misrecognized obstacle is deleted from the control system and controls and follows the received driving path.