Mobile Terminal Collision Detection via Sensor Fusion
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Solution Overview
Problem
Existing vehicle collision detection systems using mobile user terminals lack reliability and efficiency in combining sensor data to accurately predict collision risks and provide timely warnings, often resulting in faulty alerts and reduced driver acceptance.
Innovation Solution
A method and device that utilize a mobile user terminal with integrated image and acceleration sensors to read and combine signals from both the terminal and vehicle sensors, processing these data to ascertain a collision signal and provide a multi-stage warning, including driver state analysis to enhance alert timing and reduce false warnings, while activating vehicle safety systems as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data from mobile user terminal and vehicle are combined for collision detection, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent combines sensor data from the mobile user terminal (acceleration sensor, image sensor) with data from vehicle sensors (brake pressure sensor, steering angle sensor) into a unified collision detection system. This merging of multiple data sources improves measurement precision by cross-validating signals and reducing false alerts, while the integrated architecture manages device complexity through coordinated processing.
Solution Approach 2:
The mobile user terminal serves multiple functions: it acts as both a standalone collision detection device using its own sensors and as an integrated system component that processes vehicle sensor data. This multi-functionality improves measurement precision by providing redundant detection capabilities while managing device complexity through flexible system architecture.
2Reliability
If multiple sensors are integrated for comprehensive collision detection, then reliability is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically processes and evaluates data from multiple sensors (acceleration sensor, image sensor, brake pressure sensor, steering angle sensor) without requiring manual intervention. The collision detection algorithm autonomously determines collision risk by analyzing sensor signals and comparing them against predefined thresholds, improving reliability while maintaining ease of operation through automated decision-making.
Solution Approach 2:
The system incorporates feedback mechanisms where sensor data is continuously monitored and evaluated. When collision risk is detected, the system provides feedback through warning signals to the driver. This feedback loop improves reliability by enabling real-time collision detection and response while keeping operation simple through automatic warning generation.
3Measurement precision
If mechanical coupling device is used to rigidly mount user terminal, then measurement precision is improved, but ease of manufacture deteriorates
Solution Approach 1:
The system separates the mobile user terminal from the vehicle structure, using a mechanical coupling device that allows for reversible mounting. This segmentation enables the terminal to be independently manufactured and tested, improving measurement precision through optimized sensor placement, while facilitating easier manufacture and installation through modular assembly and reversible mounting mechanisms.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly improves the reliability of collision detection and warning systems, reducing false alerts and enhancing driver safety by accurately predicting collision risks and providing timely warnings, thereby increasing the acceptance and effectiveness of driver assistance functionalities.
Implementation Method 1
The image sensor may be integrated in the user terminal in an especially space-saving manner. When linked to the vehicle, the mobile user terminal is alignable in such a way that the image sensor is capable of detecting an environment that is situated in front of the vehicle.
Implementation Method 2
reading in a driving state signal in order to detect a driving state of the vehicle, the driving state signal representing a measured variable which is output by a vehicle sensor via an interface between the user terminal and the vehicle and/or an acceleration sensor of the user terminal
Implementation Method 3
The mobile user terminal is able to be rigidly mounted on the vehicle via the mechanical coupling device, so that an acceleration of the vehicle is transmittable to the mobile user terminal without any time lag.
Data Source
AI summary
In a method for detecting a collision between a vehicle and an object using a mobile user terminal which is able to be coupled to the vehicle, a user terminal signal for detecting the object is read in, which user terminal signal represents a signal which is provided by an image sensor of the user terminal; a driving state signal is read in to detect a driving state of the vehicle, which driving state signal represents a measured variable output by a vehicle sensor via an interface between the user terminal and the vehicle and/or output by an acceleration sensor of the user terminal; and a collision signal is ascertained to indicate an imminent collision between the vehicle and the object, based on the user terminal signal and the driving state signal.