Vehicular Safety Control With Risk-Based Guidance Modification
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Solution Overview
Problem
Existing vehicular safety systems struggle to effectively assess and mitigate potential risks in dynamic driving environments, leading to collisions and associated losses.
Innovation Solution
A vehicular safety control system that utilizes sensors, computing devices, and controllers to analyze sensor data and guidance commands, assessing potential risks and generating control signals to either convert or modify guidance commands based on detected risks, incorporating features like scene flow analysis and safe state space identification to optimize vehicle maneuvers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing vehicular safety systems are used, then basic safety functions are provided, but they fail to effectively assess and mitigate potential risks in dynamic driving environments
Solution Approach 1:
The safety control system is divided into distinct functional modules: sensor data acquisition module, guidance command reception module, risk assessment module, and control signal generation module. Each module performs a specific function in the risk mitigation process, allowing for specialized processing and easier system maintenance while improving overall reliability
Solution Approach 2:
The system performs preliminary risk assessment by analyzing sensor data and guidance commands before executing any vehicle control actions. By identifying potential risks in advance and evaluating them through the risk assessment module, the system can prepare appropriate control signals beforehand, improving response time and reliability in dynamic environments
2Reliability
If the system modifies guidance commands to mitigate risks, then collision avoidance is improved, but control response time may be increased
Solution Approach 1:
The risk assessment module continuously analyzes sensor data and guidance commands in advance, identifying potential risks before they materialize into threats. This preliminary assessment allows the system to prepare control signals proactively, reducing the time required for response when risks are detected and improving overall collision avoidance capability
Solution Approach 2:
The system implements a closed-loop control mechanism where control signals are generated based on continuous feedback from sensor data and risk assessment results. The system monitors the effectiveness of control actions and adjusts subsequent guidance command modifications accordingly, optimizing the balance between collision avoidance and response time through iterative learning
Data Source
AI summary
Methods and systems for providing vehicular safety control are described herein. In some embodiments, a system of vehicular safety control can help reduce or avoid human, animal, property, monetary, time and/or energy losses. The system comprises or uses sensors to perceive driving environments, and analyses of guidance commands and sensor data can evaluate potential risks. In general, implementations may include a computer-based method for controlling a vehicle, the method comprising: (a) receiving sensor data; (b) receiving a guidance command; (c) analyzing the sensor data and the guidance command, wherein the analysis comprises assessing a potential risk; and generating a control signal, wherein (1) when a potential risk is not detected, generating a control signal comprises converting the guidance command into the control signal, and (2) when a potential risk is detected, generating a control signal comprises modifying the guidance command and converting a modified guidance command into the control signal.