AEB Turn-State Control to Prevent False Braking in U-Turns
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Solution Overview
Problem
Advanced driver assistance systems (ADAS) face challenges in accurately determining collision threats due to false positive activations of autonomous emergency braking (AEB) systems, particularly during vehicle turns, caused by sensor errors and uncertainties.
Innovation Solution
The ADAS system modifies its AEB algorithm based on the vehicle's turn status, utilizing additional sensors like accelerometers and steering sensors to differentiate between U-turns and evasive steering maneuvers, thereby adjusting thresholds for time-to-collision and lateral offset calculations to prevent false positives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the AEB system uses basic speed and position parameters to determine collision threats, then the system can initiate autonomous emergency braking to avoid collisions, but the system may produce false positive activations during vehicle turns due to sensor errors and uncertainties
Solution Approach 1:
The patent introduces turn state detection as an intermediary parameter that mediates between basic sensor inputs and AEB activation decisions. By detecting whether the vehicle is in a turning state using steering angle sensors and accelerometer data, the system can filter out false collision threats that occur during normal turning maneuvers, thereby reducing false positive AEB activations while maintaining reliability for actual collision risks
Solution Approach 2:
The patent modifies the AEB algorithm by changing the parameters used for collision threat assessment. Instead of relying solely on speed and position, the system incorporates turn state detection parameters (steering angle, yaw rate, lateral acceleration) to dynamically adjust the collision threat evaluation. This parameter expansion allows the system to distinguish between legitimate collision risks and false positives during turns
2Reliability
If the AEB system incorporates additional sensor inputs to differentiate between U-turns and evasive steering maneuvers, then the system can reduce false positives, but the device complexity increases
Solution Approach 1:
The patent applies multi-functionality by using existing vehicle sensors (steering angle sensors, accelerometers, yaw rate sensors) for multiple purposes. These sensors originally designed for basic vehicle control and stability are repurposed to also detect turn states and differentiate between U-turns and evasive maneuvers, thereby improving AEB reliability without adding dedicated new hardware components
Solution Approach 2:
The system utilizes its own existing sensor infrastructure to solve the false positive problem. By leveraging data already being collected by vehicle sensors for other functions (steering control, stability management), the AEB system performs self-service by generating turn state information internally without requiring external or additional specialized sensors
Data Source
AI summary
A method of implementing autonomous emergency braking (AEB) for advanced driver-assistance systems (ADAS), the method includes receiving one or more first inputs and identifying one or more targets external to a host vehicle based on the one or more first inputs. The method further includes receiving one or more second inputs related to a turning status of the host vehicle and detecting a U-turn state associated with the host vehicle based on the one or more second inputs. The AEB algorithm may be modified in response to the detected U-turn state, wherein the AEB algorithm initiates an AEB event as necessary to avoid collisions with the one or more identified targets.