Adaptive Emergency Braking Timing Control
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Solution Overview
Problem
Conventional emergency braking systems have predetermined warning and braking timings that do not account for individual driver tendencies, leading to driver inconvenience and potential misjudgments in collision scenarios.
Innovation Solution
An emergency braking system that uses an imaging device, sensors, and a controller to identify forward obstacles, determine the driving environment, and learn a driver's pattern to variably adjust warning and braking intervention timings based on learned driving habits, including road type, weather, and vehicle state information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If predetermined warning and braking timings are used based on expected collision time and relative speed, then the system can provide standardized emergency braking control, but driver inconvenience occurs when the timing does not match the driver's judgment or capabilities
Solution Approach 1:
The system dynamically adjusts warning and braking intervention timings based on the learned driving pattern of each driver. Instead of using fixed predetermined timings, the controller varies the intervention timing according to the driver's individual characteristics, making the system adaptive and convenient for each user while maintaining reliable braking control
Solution Approach 2:
The system collects driving state information and obstacle information over time, learns the driver's pattern, and uses this learned pattern to adjust future warning and braking timings. This feedback mechanism allows the system to continuously improve its performance by adapting to the driver's behavior, resolving the contradiction between standardized control and individual driver needs
2Device complexity
If warning is generated or braking is performed based on fixed timing thresholds regardless of driver behavior, then the system can operate with simple control logic, but misjudgment occurs when the driver determines the current state is not dangerous or is capable of sufficient avoidance
Solution Approach 1:
The system performs preliminary learning of the driver's pattern by collecting and analyzing driving state information and obstacle information before actual emergency braking situations occur. This preliminary action enables the system to have accurate collision prediction capability in advance, allowing it to make reliable judgments about when warning or braking is truly necessary, reducing false alarms and unnecessary interventions
Data Source
AI summary
An emergency braking system is provided and brakes a vehicle by more efficiently predicting forward collision. The emergency braking system includes an imaging device that identifies a forward obstacle and a sensor that senses an external environment and a driving state of a vehicle. A controller determines a road on which the vehicle is driven, determines a current driving environment case among a plurality of driving environment cases, using external environment information and road information and learns a driving pattern for the current driving environment case, using obstacle information and driving state information. Additionally, the controller variably adjusts warning and braking intervention timings using the learned driving pattern according to the driving environment cases.