Vehicle Exit Assistance Using Intent and Hazard Detection
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Solution Overview
Problem
Existing vehicle exit assistance systems rely on human discipline to check for approaching vehicles or pedestrians before opening the door, which can lead to accidents due to negligence or distraction, highlighting the need for an automated solution to mitigate door collision risks.
Innovation Solution
A computer-implemented method and system that analyzes interior and exterior vehicle data to detect a person's intention to exit and potential hazards in the vicinity, calculating a vehicle exit score to output control signals for locking the door or providing warnings to prevent collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated sensing systems are implemented to detect approaching vehicles and pedestrians, then safety and reliability are improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensing technologies (cameras, LIDAR, radar, ultrasonic sensors) into a unified vehicle exit assistance system. These diverse sensors are integrated through a common processing unit that fuses their data to detect approaching vehicles, cyclists, and pedestrians, thereby improving safety while managing system complexity through consolidation.
Solution Approach 2:
The system employs multi-functional sensors that can detect multiple types of hazards (vehicles, cyclists, pedestrians) simultaneously. The camera system, for example, serves both to detect approaching vehicles and to monitor pedestrian presence, allowing one component to perform multiple safety functions.
2Measurement precision
If multiple sensors and processing units are integrated to improve detection accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent introduces a central processing unit that acts as an intermediary between multiple sensors and the control systems. This intermediary component receives raw data from various sensors, processes and fuses the information, and generates control signals, thereby improving detection accuracy while centralizing complexity management.
Solution Approach 2:
The system implements feedback loops where sensor data is continuously processed, and the results are used to adjust sensor activation and processing priorities. The processing unit monitors detection confidence levels and adjusts resource allocation accordingly, improving precision while optimizing complexity management through adaptive feedback.
Data Source
AI summary
A computer-implemented method for vehicle exit assistance includes analyzing interior cabin data originating from a vehicle sensing system to detect a position and/or movement of a person in a cabin of a vehicle. The computer-implemented method includes determining, based on the detected position and/or movement of the person, a door opening act indicative of an intention of the person to exit the vehicle. The computer-implemented method includes determining, based on exterior environment data collected from the vehicle sensing system, an object in a vicinity of the vehicle. The computer-implemented method includes determining a vehicle exit score based on the object and the door opening act. The computer-implemented method includes outputting, based on the vehicle exit score, a control signal to a vehicle assistance system of the vehicle to control vehicle exit of the person.