Autonomous Emergency Braking Radar Cross Section Classification
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Solution Overview
Problem
Autonomous emergency braking systems often malfunction by mistakenly identifying overhead structures as vehicles, leading to unnecessary braking and reduced system reliability.
Innovation Solution
An autonomous emergency braking system that includes a driving information collection module, a radar module, and a controller or domain control unit to process driving information and radar signals, forming tracks and determining whether they are generated by a vehicle or an overhead structure using Radar Cross Section (RCS) differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If radar signal is used to detect objects, then detection capability is improved, but overhead structures may be mistaken for vehicles causing false emergency braking
Solution Approach 1:
The system changes the parameter being measured from simple radar signal presence to Radar Cross Section (RCS) characteristics. By analyzing the specific RCS values and patterns reflected from targets, the system can distinguish between vehicles and overhead structures, as they have fundamentally different radar reflection characteristics. This parameter transformation resolves the contradiction by maintaining detection capability while eliminating false alarms.
Solution Approach 2:
The controller acts as an intermediary between the radar module and the emergency braking system. It processes radar signals, forms tracks, determines target types based on RCS characteristics, and only triggers emergency braking when a vehicle is confidently identified. This intermediary processing layer filters out false detections from overhead structures before they reach the braking system.
2Object-affected harmful factors
If emergency braking is performed for every detected object, then safety is improved, but system reliability decreases due to unnecessary braking from overhead structure misidentification
Solution Approach 1:
The system performs preliminary classification of detected targets using RCS characteristics before triggering emergency braking. The controller analyzes radar cross section values and patterns to pre-identify whether a target is a vehicle or an overhead structure. This preliminary action ensures that emergency braking is only activated for genuine vehicle threats, maintaining both safety and reliability.
Solution Approach 2:
The system uses feedback from RCS measurements to continuously refine target identification. By monitoring the radar cross section characteristics of detected objects and comparing them against known vehicle profiles, the system can confirm or reject potential threats. This feedback mechanism prevents false activation while maintaining rapid response to genuine dangers.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Prevents system malfunctions by accurately distinguishing between vehicles and overhead structures, thereby improving the reliability of emergency braking operations.
Implementation Method 1
the autonomous emergency braking system may detect an object ahead through a radar sensor and measure the separation distance and the relative speed with the object on the basis of a radar signal reflected from the object
Implementation Method 2
receive the radar signal reflected from a target
Data Source
AI summary
Disclosed are an autonomous emergency braking system and a method of controlling the same, wherein at least one track corresponding to the target is formed using the received radar signal, it is determined whether the tracks are generated by another vehicle, and it is determined whether the tracks determined to be generated by the other vehicle are generated by an overhead structure. Accordingly, it is possible to prevent the overhead structure from being mistaken for a vehicle and thus to prevent a malfunction of the system and improve reliability.