AEB Driving Simulator for Accident Reconstruction and Collision Analysis
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Solution Overview
Problem
There is a need for a driving simulator that can analyze and reproduce accidents involving autonomous emergency braking systems, including determining the limitations of the system's function and performance, and assessing the driver's reaction, which existing technologies have not adequately addressed.
Innovation Solution
A driving simulator is developed with a boarding unit providing a virtual driving experience, a control unit running a simulation program that includes autonomous emergency braking logic, radar driving logic, and data acquisition capabilities to simulate and analyze the operation of autonomous emergency braking devices, allowing for the calculation of collision data and comparison with actual test data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a driving simulator is developed to accurately simulate autonomous emergency braking operations, then the precision of accident analysis is improved, but the device complexity increases
Solution Approach 1:
The patent creates a virtual copy of the autonomous emergency braking system within the simulator environment. The simulation program replicates the radar sensor signals, camera sensor signals, and braking control logic of the actual AEB system, allowing accurate accident analysis without requiring the physical vehicle system. This copying approach maintains high measurement precision while avoiding the complexity of duplicating entire physical systems.
Solution Approach 2:
The simulator acts as an intermediary system between the actual AEB system and the accident analysis process. It receives test data from real AEB operations and processes it through virtual simulations to produce analysis results. This intermediary layer enables precise accident reconstruction by mediating between raw test data and analytical conclusions, without requiring direct access to the complex physical AEB hardware during analysis.
2Reliability
If actual test data and radar characteristics are incorporated into the simulation, then the reliability of accident analysis is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The simulator performs preliminary processing of actual test data before accident analysis. It pre-integrates radar sensor signals, camera sensor signals, and vehicle state data into a standardized format that can be directly used for accident reconstruction. This preliminary action reduces the difficulty of detecting and measuring during actual analysis by preparing all necessary data in advance with proper synchronization and calibration.
Solution Approach 2:
The patent merges multiple data sources including radar sensor signals, camera sensor signals, and vehicle state data into a unified simulation model. By combining these heterogeneous data types into a single integrated analysis framework, the system improves reliability through multi-source validation while reducing the overall difficulty of detection and measurement compared to analyzing each data source separately.
Data Source
AI summary
The disclosure relates to a driving simulator for accident analysis of an autonomous emergency braking device, the driving simulator including a boarding unit including a boarding display unit, a main body, and a support unit, and a control unit including a controller configured to run a simulation program for accident analysis of the autonomous emergency braking device and control the boarding unit, and a control display unit configured to provide an operator interface screen of a simulation program for accident analysis of the autonomous emergency braking device, wherein the simulation program for accident analysis of the autonomous emergency braking device includes an autonomous emergency braking driving logic unit configured to output a warning signal to the boarding unit according to a sequence of the autonomous emergency braking device or apply a virtual braking pressure to the virtual driving vehicle, calculate collision data.