Autonomous Vehicle Door Control for Predicted Collision Avoidance
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Solution Overview
Problem
Existing autonomous vehicle systems lack effective methods to predict and manage passenger safety during boarding and disembarking, particularly in identifying potential threats and controlling vehicle doors accordingly.
Innovation Solution
An autonomous vehicle control apparatus and method that utilizes sensors and cameras to gather information on entities around the vehicle, processes this data using processors to determine the position and movement of entities, and controls door operations based on predictions of entity interactions with the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the door is opened immediately after the vehicle stops, then passenger boarding efficiency is improved, but passenger safety deteriorates due to potential collisions with approaching entities
Solution Approach 1:
The system performs preliminary detection and prediction of approaching entities before opening the door. The processor identifies entities in the vicinity, predicts their movement trajectories, and determines whether they will collide with the door or passengers before the door opening action is executed, allowing preventive measures to be taken in advance
Solution Approach 2:
The system applies preliminary anti-action by predicting potential collision threats and preventing the door opening action when entities are detected to potentially collide with the door or passengers. The control unit suppresses the door opening command when safety conditions are not met, counteracting the potential harmful effect before it occurs
2Object-affected harmful factors
If the door is kept closed to prevent collisions with approaching entities, then passenger safety is improved, but boarding efficiency deteriorates
Solution Approach 1:
The door control system dynamically adjusts its state based on real-time entity detection and prediction results. The door can transition between closed, opening, and open states depending on the presence and predicted behavior of nearby entities, allowing the system to optimize both safety and efficiency adaptively rather than following a fixed control pattern
Solution Approach 2:
The system continuously monitors the environment using sensors and cameras, feeds this information back to the processor for entity identification and trajectory prediction, and adjusts door control decisions based on the predicted outcomes. This closed-loop feedback mechanism enables real-time optimization of door operations
3Measurement precision
If multiple sensors and cameras are deployed to detect entities, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The system merges the functionality of multiple sensors (ultrasonic, infrared, camera) into a unified detection and prediction system. The processor integrates data from different sensor types to identify entities and predict their behavior, achieving high detection accuracy while managing system complexity through coordinated multi-sensor operation
Data Source
AI summary
Disclosed is an autonomous vehicle control apparatus including a sensor that obtains sensing information associated with an entity around a vehicle, a camera that obtains an image of the entity, and one or more processor that determine whether the entity is estimated to reach the vehicle at least a predetermined time after a door of the vehicle opens, and control a position of the door.