External Vehicle Gesture Detection With Obstacle-Aware Action Execution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle systems lack the intelligence to understand and respond to environmental scenarios effectively, leading to potential damage or safety hazards when executing commands from users outside the vehicle, such as opening windows during heavy rain or parking in scenarios with limited clearance.
Innovation Solution
A detection system that predicts obstacles to completing a task from a detected gesture outside the vehicle, using sensor data to estimate contextual interactions and execute corrective responses, such as delaying actions until safety conditions are met or requesting user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the vehicle system automatically opens windows according to operator preferences, then user convenience is improved, but vehicle flooring may be damaged due to heavy rainfall
Solution Approach 1:
The system performs preliminary detection of environmental conditions (rainfall, temperature) before executing the window opening action. By detecting the rainstorm condition in advance, the system prevents the harmful action of opening windows during rainfall, thereby avoiding vehicle flooring damage while still allowing convenient operation under normal conditions
Solution Approach 2:
The system continuously monitors environmental sensor data and provides feedback to the control logic. When rainfall is detected, the system adjusts its behavior by delaying or preventing window opening, creating a closed-loop control that balances user convenience with vehicle protection
2Adaptability or versatility
If the vehicle system executes commands from users outside the vehicle, then user control capability is improved, but safety hazards may occur due to lack of environmental context understanding
Solution Approach 1:
The system performs preliminary analysis of environmental conditions and obstacle detection before executing user commands. By checking the environment first (such as detecting pedestrians, obstacles, or unsafe conditions), the system ensures that command execution only proceeds when safe, thereby maintaining both user control capability and safety
Solution Approach 2:
The system introduces an intermediary safety check layer between the user command input and the actual vehicle action execution. This intermediary layer analyzes sensor data and environmental context, acting as a mediator that allows safe commands to pass through while blocking potentially harmful commands, thus preserving user control while ensuring safety
Data Source
AI summary
Systems, methods, and other embodiments described herein relate to predicting an obstacle to completing a task from a detected gesture outside a vehicle and completing the task upon satisfying a corrective response. In one embodiment, a method includes detecting a gesture command for an action from a user outside of a vehicle using sensor data. The method also includes predicting an obstacle for an incomplete task of the action from a vehicle state using the sensor data and notifying the user. The method also includes executing the incomplete task for the action upon a corrective response to the obstacle satisfying a parameter.


