Driving Control System Active Collision Avoidance
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Solution Overview
Problem
Conventional autonomous driving assistance systems (ADAS) primarily focus on sensing approaches for tasks like automatic parking and collision avoidance, but they fail to actively assist drivers in maintaining safety and stability, especially at high speeds, by only passively informing drivers of potential dangers without actively intervening.
Innovation Solution
A driving control system with multiple modules that receive and analyze environment and driving status information to perform safety and collision analyses, enabling active decision-making to slow down or change the vehicle's path to avoid collisions, thereby enhancing safety and stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional ADAS uses sensing approaches (GPS, radar, image-capturing device) for automatic parking and collision avoidance, then automatic parking and collision avoidance functions are achieved, but the system fails to actively assist drivers in maintaining safety and stability at high speeds by only passively informing drivers of potential dangers
Solution Approach 1:
The driving control system automatically performs safety analysis, collision analysis, and control actions without requiring driver intervention. The system self-manages the entire process from detecting potential dangers through analyzing collision risks to executing control commands, thereby providing active assistance rather than merely informing the driver
Solution Approach 2:
The system continuously receives driving status information and environment information, performs real-time safety and collision analyses, and adjusts control commands based on the analysis results. This closed-loop feedback mechanism enables the system to actively respond to changing conditions and maintain driving safety
2Reliability
If the driving control system performs real-time safety analysis and collision analysis to predict driving dangers, then driving safety is enhanced, but the system complexity increases due to multiple control modules and analysis processes
Solution Approach 1:
The driving control system is divided into distinct functional modules: a receiving module for gathering information, a safety analysis module for assessing driving dangers, a collision analysis module for predicting collisions, and a control module for executing actions. This segmentation allows each module to perform its specific function efficiently while maintaining overall system manageability
Solution Approach 2:
The driving control system integrates multiple functions including information reception, safety analysis, collision analysis, and control execution within a single unified system. This multi-functionality reduces the need for separate independent systems while achieving comprehensive driving safety assistance
3Reliability
If the driving control system instantly plans a barrier-avoiding path under dangerous situations, then collision avoidance is improved, but the response time and processing speed requirements increase
Solution Approach 1:
The system performs preliminary safety analysis continuously to identify potential driving dangers before they develop into actual collision risks. By detecting and analyzing potential hazards in advance, the system prepares for possible collision scenarios and can respond more quickly when actual collision risks are confirmed
Solution Approach 2:
When a potential collision risk is identified through safety analysis, the system rapidly progresses through the collision analysis and control execution phases without unnecessary delays. The control module immediately generates and executes control commands to avoid collisions, prioritizing speed over exhaustive analysis in critical situations
Data Source
AI summary
A driving control system mounted in a vehicle receives multiple pieces of information through a status detection module and a vehicle safety determination module thereof, performs a safety and collision analysis to predict whether a driving danger exists, when a driving danger exists, instructs an emergency control module to calculate an optimal barrier-avoiding path and send a corresponding control signal to a vehicle control module, and when no driving danger exists, instructs a normal control module to perform an adaptive algorithm according to different road conditions and driver's behavior information and send a control signal to the vehicle control module. Accordingly, the driving control system can instantly plan a barrier-avoiding path according the degree of emergency and collision danger to achieve the goal of enhancing safety and stability of the vehicle and driver in driving.