Vehicle Hazard Object Detection Using Orientation Parameters
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Solution Overview
Problem
Current automotive sensor technologies face challenges in efficiently and reliably identifying hazard objects around a vehicle in real-time, leading to potential false activations of safety functions like automatic emergency braking, which can cause accidents.
Innovation Solution
A computer-implemented method that uses an orientation parameter to determine if an object satisfies hazard conditions by analyzing the difference between the object's and vehicle's orientations, allowing for efficient and reliable identification of hazard objects, and activating appropriate safety functions based on the hazard quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If huge amounts of sensor data are processed to identify hazard objects, then reliability of hazard identification is improved, but processing time increases making real-time safety functions infeasible
Solution Approach 1:
The patent extracts only the essential orientation parameter from the complete sensor data set. Instead of processing all sensor data points, the system specifically identifies and processes the orientation information of detected objects, which is the critical factor for hazard assessment. This extraction approach maintains reliability by focusing on the most relevant data while dramatically reducing processing time.
Solution Approach 2:
The orientation parameter serves as an intermediary that bridges the gap between raw sensor data and hazard identification. Rather than directly analyzing complex sensor data patterns, the system uses orientation as a simplified intermediate representation that captures the essential hazard information, enabling fast processing without sacrificing identification accuracy.
2Measurement precision
If comprehensive sensor data processing is performed to identify all potential hazard objects, then detection precision is improved, but device complexity increases beyond standard vehicle capabilities
Solution Approach 1:
The patent extracts only the orientation parameter from the complete sensor data set. Instead of processing all sensor data points, the system specifically identifies and processes the orientation information of detected objects, which is the critical factor for hazard assessment. This extraction approach maintains reliability by focusing on the most relevant data while dramatically reducing processing time.
Solution Approach 2:
The patent transforms complex sensor data into a simplified parameter representation focused on orientation. By changing the data representation from raw sensor measurements to orientation parameters, the system reduces computational complexity while preserving the essential information needed for accurate hazard detection. This parameter transformation makes the system feasible for standard vehicle processors.
3Reliability
If hazard identification criteria are expanded to cover more hazard conditions, then reliability of safety activation is improved, but risk of false activations increases
Solution Approach 1:
The patent applies different hazard condition criteria to different local situations based on object orientation. Rather than using a single universal threshold, the system evaluates orientation-specific hazard conditions that are tailored to the particular spatial relationship between the vehicle and detected objects. This localized approach improves reliability by matching the right criteria to each situation while reducing false activations through context-appropriate thresholds.
Data Source
AI summary
A computer-implemented method for identifying hazard objects around a vehicle includes several steps carried out by computer hardware components. The method includes detecting an object in an environment of the vehicle; determining an orientation parameter of the object, which represents a difference between an orientation of the object and an orientation of the vehicle; determining, on the basis of the orientation parameter, whether the object satisfies at least one hazard condition; and identifying the object as a hazard object if the at least one hazard condition is satisfied.