Seamless Vehicle Access via Trajectory Prediction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional keyless vehicle access systems lack automatic initiation of vehicle functions and do not intelligently determine which door to open based on the user's trajectory, nor do they provide enhanced security measures to prevent unauthorized access.
Innovation Solution
A remote access system that uses a receiver to detect a mobile device's location and a processor to authenticate the user through dual pass authentication and biometric data, and performs vehicle functions such as opening doors based on predictive modeling and gesture recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional keyless access control through fob is used, then remote control of vehicle components is enabled, but automatic initiation of vehicle functions is not achieved and user intervention is required
Solution Approach 1:
The system performs preliminary actions by detecting the user's approach trajectory and predicting intended vehicle functions before the user actually interacts with the vehicle. The processor analyzes movement patterns and pre-determines which door to open or what function to activate, eliminating the need for user intervention at the moment of access.
Solution Approach 2:
The system enables self-service by allowing the vehicle to automatically determine and execute the appropriate function based on detected user trajectory and behavior patterns. The vehicle serves itself by autonomously selecting which door to open or what function to activate without requiring the user to manually select or confirm actions.
2Adaptability or versatility
If conventional fob access control is used, then door unlocking is enabled, but intelligent determination of which door to open based on user trajectory is not achieved
Solution Approach 1:
The system replaces the simple mechanical button-press mechanism of conventional fobs with an optical and computational system. Cameras detect user trajectory, and processors analyze movement patterns to intelligently determine which door the user intends to open, substituting mechanical interaction with automated visual recognition and computational analysis.
3Reliability
If conventional fob access control is used, then basic door unlocking is provided, but enhanced security measures to prevent unauthorized access are not provided
Solution Approach 1:
The authentication process is segmented into two distinct passes: first verifying the mobile device's proximity and communication capability, then separately verifying biometric data. This segmentation creates multiple security layers that must both succeed for access to be granted, significantly enhancing security against unauthorized access.
Solution Approach 2:
The system introduces biometric data as an intermediary verification layer between the user and vehicle access. Instead of direct fob-to-vehicle authentication, the biometric scan acts as an intermediate security checkpoint that validates the user's identity before granting access, preventing unauthorized use even if the mobile device is compromised.
Data Source
AI summary
A remote access system for a vehicle may include at least one receiver configured to detect a location of a mobile device, and a controller having a processor. The processor may be configured to determine an association of the mobile device to an authorized user when the mobile device is within a first range from the vehicle, and authenticate the user when the mobile device is within a second range from the vehicle, wherein the second range is smaller than the first range. The processor may also be configured to determine a vehicle function to perform based on data associated with the mobile device or the user, and perform the vehicle function when the mobile device is within a third range from the vehicle and the user is authenticated, wherein the third range is smaller than the second range.