Rear-View Sensor AEB Control for Rear Collision Mitigation
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Solution Overview
Problem
Conventional automatic emergency braking (AEB) systems in autonomous vehicles are limited by false positives and negatives due to single-path sensing, lack of rear-view data, and uniform braking profiles, leading to inefficient collision avoidance and potential rear collisions.
Innovation Solution
Leveraging rear-view sensors to analyze data from multiple perspectives around the vehicle, adjusting AEB activation triggers and braking profiles based on objects in front, side, and rear, using LIDAR, RADAR, and cameras to enhance collision avoidance and reduce mechanical stress.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional AEB systems apply uniform braking profiles regardless of environment, then system simplicity is maintained, but collision avoidance efficiency and passenger comfort deteriorate
Solution Approach 1:
The system applies different braking profiles based on local environmental conditions detected by rear-view sensors. When a trailing vehicle is present, a modified braking profile is applied that accounts for the rear environment. This local quality approach allows the system to optimize collision avoidance efficiency and passenger comfort for specific situations without requiring complete system redesign.
2Device complexity
If conventional AEB systems limit field of view to front portions, then sensor system simplicity is maintained, but awareness of trailing vehicles is lost leading to potential rear collisions
Solution Approach 1:
Rear-view sensors are integrated into the AEB system, allowing the sensor network to serve multiple functions: detecting trailing vehicles for activation threshold adjustment and providing environmental context for braking profile selection. This multi-functionality approach adds rear environment awareness without requiring completely separate sensor systems.
Data Source
AI summary
In various examples, activation criteria and/or braking profiles corresponding to automatic emergency braking (AEB) systems and/or collision mitigation warning (CMW) systems may be determined using sensor data representative of an environment to a front, side, and/or rear of a vehicle. For example, activation criteria for triggering an AEB system and/or CMW system may be adjusted by leveraging the availability of additional information with regards to the surrounding environment of a vehicle—such as the presence of a trailing vehicle. In addition, the braking profile for the AEB activation may be adjusted based on information about the presence of and/or location of vehicles to the front, rear, and/or side of the vehicle. By adjusting the activation criteria and/or braking profiles of an AEB system, the potential for collisions with dynamic objects in the environment is reduced and the overall safety of the vehicle and its passengers is increased.