Vehicle Closure Actuation Using User and Object Detection
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Solution Overview
Problem
Existing vehicle systems require manual operation to open and close closures, such as trunks and doors, which can be inconvenient for users carrying objects.
Innovation Solution
The implementation of an electronic control unit (ECU) in vehicles that uses image sensors and authorization devices to detect authorized users and objects approaching the vehicle, automatically opening appropriate closures based on the detected information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operation is used to open vehicle closures, then device complexity is reduced, but ease of operation deteriorates for users carrying objects
Solution Approach 1:
The system performs preliminary detection of the user and objects before the closure opening action. Image sensors capture images of the user and objects in advance, the processor analyzes these images to identify objects, and determines which closure to open before the user arrives, so that the closure is ready to open automatically when the user approaches
Solution Approach 2:
The patent replaces manual mechanical operation with an automated system using image sensors to detect users and objects, a processor to analyze images and determine closure selection, and an actuator to automatically open the appropriate closure without mechanical user intervention
2Ease of operation
If automatic closure actuation is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The processor serves multiple functions: it processes images from image sensors, identifies objects in the images, determines which closure to open based on object analysis, and controls the actuator. This multi-functionality reduces the need for separate dedicated components for each function
Solution Approach 2:
The processor acts as an intermediary between the image sensors and the closure actuation system. It receives image data from sensors, analyzes the content to identify objects and determine user intent, and translates this analysis into control signals for the appropriate closure actuator
3Extent of automation
If image sensors and processors are added for object detection, then automation is improved, but manufacturing precision requirements increase
Solution Approach 1:
The system segments the automation function into distinct components: image sensors for detection, processor for analysis and decision-making, and actuators for execution. This segmentation allows each component to be optimized independently and simplifies the overall system architecture
Data Source
AI summary
An automatic actuation of one or more vehicle closures may be based on object detection. A device may include at least one processor configured to detect an authorized user within a proximity of a vehicle, detect an object within a proximity of the authorized user, and cause an actuation associated with a closure of the vehicle based at least in part on the detected authorized user and the detected object.