Keyless Vehicle Start With Post-Start Driver Verification
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Solution Overview
Problem
Existing vehicles with keyless start functions face reliability issues when users forget their physical keys, leading to reduced user experience and compromised anti-theft security.
Innovation Solution
A method and device that allow vehicles to skip anti-theft verification upon receiving a keyless start instruction, enabling direct vehicle startup, followed by driver identity verification after startup to ensure legal operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If autonomous driving control is implemented using existing technologies, then automated vehicle operation is achieved, but response speed is slow and cannot adapt to dynamic changes in the traveling environment
Solution Approach 1:
The autonomous driving control system is segmented into multiple independent neural networks, each responsible for specific driving tasks (acceleration, braking, steering). This segmentation allows parallel processing of different driving decisions, significantly improving response speed while keeping each individual neural network relatively simple and manageable.
Solution Approach 2:
The system employs dynamic neural networks that can adapt and learn from real-time driving data. The neural networks are continuously trained and updated based on actual driving conditions, enabling the system to dynamically adjust its control strategies and improve response speed as it accumulates more driving experience.
2Measurement precision
If deep learning algorithms are used for autonomous driving decisions, then decision accuracy is improved, but computational time increases causing slow response
Solution Approach 1:
Complex deep learning algorithms are divided into multiple simpler neural networks, each handling specific driving decisions. This segmentation reduces the computational burden on each individual network, allowing faster processing while maintaining overall decision accuracy through the collective judgment of multiple specialized networks.
Solution Approach 2:
The system uses multiple neural networks to make decisions, where each network provides a partial decision. The final decision is synthesized from these partial decisions, achieving high accuracy without requiring any single network to perform excessively complex computations that would slow down the system.
3Adaptability or versatility
If single neural network is used for autonomous driving control, then device complexity is reduced, but adaptability to complex and changing environments is insufficient
Solution Approach 1:
The system segments the autonomous driving control into multiple specialized neural networks, each optimized for specific driving scenarios and conditions. This segmentation enables the system to adapt to complex and changing environments by activating appropriate networks based on current conditions, achieving high versatility without requiring any single network to be overly complex.
Solution Approach 2:
The multi-neural network system provides universal adaptability across diverse driving conditions. Each neural network can be trained for specific functions (e.g., highway driving, urban navigation, emergency response), and the system universally applies the most appropriate network based on the current environment, achieving multi-functionality and high environmental adaptability.
4Extent of automation
If traditional control methods are used, then system simplicity is maintained, but automated operation capability and response speed are insufficient
Solution Approach 1:
Traditional mechanical control methods are replaced with neural network-based intelligent control systems. This substitution enables automated operation capability while improving response speed through the parallel processing and pattern recognition capabilities of neural networks, which can quickly analyze sensor data and make driving decisions without mechanical delays.
Data Source
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AI summary
The present application provides a method and a device for controlling a vehicle to drive, and an electronic device, when it is determined that the preset keyless start conditions are met, the keyless start mode is entered. If a keyless start instruction is received, the anti-theft verification operation is skipped and the vehicle start is directly controlled, which ensures that the driver can start the vehicle without a physical key, and the vehicle start reliability is high, which improves the user experience. Further, after the vehicle is started, the driver in the vehicle is verified. If the verification is passed, a vehicle drive permission instruction is sent to the vehicle drive control unit on the vehicle, so that the vehicle drive control unit responds to the driver instruction of the driver and controls the vehicle to drive according to the driver instruction. That is, the vehicle is allowed to drive only after it is determined that the driver is legal, the anti-theft function is realized and the safety of vehicle driving is ensured.