Vehicle Event Recording for Multi-Object Contact Detection
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Solution Overview
Problem
Existing techniques for determining contact events between target objects and a host vehicle are not reliable, as they often rely solely on acceleration or angular velocity, which do not account for the varying behavior characteristics of different objects, leading to uncertain event recording.
Innovation Solution
An event recording system that uses external sensors to detect and record contact events by determining the type, moving speed, and overlap of target objects, including road users and installations, and adjusts control parameters to track and record these events effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If contact event determination relies solely on acceleration or angular velocity, then the detection process is simple, but the reliability of contact event detection deteriorates due to varying behavior characteristics of different objects
Solution Approach 1:
The system changes detection parameters by considering multiple factors (type, moving speed, overlap) instead of relying on a single parameter like acceleration or angular velocity. This allows the detection system to adapt to varying behavior characteristics of different target objects, improving reliability without requiring completely new detection mechanisms.
Solution Approach 2:
The system dynamically adjusts the contact event determination criteria based on the specific characteristics of target objects. By evaluating type, moving speed, and overlap dynamically, the system can adapt its detection threshold and methodology to match the behavior patterns of different objects, thereby improving detection reliability.
2Measurement precision
If multiple parameters (type, moving speed, overlap) are considered for contact event determination, then detection accuracy improves, but processing complexity increases
Solution Approach 1:
The detection process is segmented into distinct evaluation stages: first determining the type of target object, then assessing its moving speed, and finally evaluating overlap. This segmentation allows each parameter to be processed independently using specialized algorithms, improving overall detection accuracy while managing complexity through modular processing.
Solution Approach 2:
The system employs a universal determination framework that handles multiple target object types (vehicles, pedestrians, cyclists, animals) through a common set of evaluation criteria. This multi-functional approach allows the same processing logic to be applied across different object types, improving detection accuracy without proportionally increasing processing complexity.
3Measurement precision
If sensor control parameters are adjusted dynamically during tracking, then event recording accuracy improves, but system complexity increases
Solution Approach 1:
The system implements feedback control by continuously monitoring the tracking state of target objects and adjusting sensor control parameters accordingly. When a contact event is detected or suspected, the system feeds back this information to modify sensor parameters (such as sampling rate, detection range, or focus), thereby improving event recording accuracy while maintaining manageable system complexity through closed-loop control.
Solution Approach 2:
The system performs preliminary adjustment of sensor parameters in anticipation of potential contact events. By proactively modifying detection parameters when target objects enter critical zones or exhibit suspicious motion patterns, the system prepares for accurate event recording before the actual contact occurs, improving recording accuracy while avoiding the need for complex real-time parameter changes during the event itself.
Data Source
AI summary
A contact event occurring in a vicinity of a host vehicle equipped with an external sensor for detecting detection information of an external environment is recorded. It is determined whether the contact event occurs at a plurality of target objects including at least one type of a road user and a road installation object other than the host vehicle, based on a type, a moving speed, and overlap of the target objects. A pair of the target objects determined that the contact event occurs is tracked, and the detection information is recorded. A control parameter of the external sensor is adjusted according to the tracking of the pair while the host vehicle continues travelling.