Image-Based Distance Assistance for Stationary Object Selection
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Solution Overview
Problem
Radar-based Adaptive Cruise Control (ACC) systems face limitations in accurately distinguishing stationary objects, leading to potential errors in distance control, especially in complex urban environments, where objects like parked vehicles can be misidentified as target objects, affecting safety and control comfort during lane changes and maneuvers.
Innovation Solution
An image-based or video-based distance assistance system that uses environmental data from cameras or image processing devices to determine object properties, such as movement state and position, allowing for precise control parameter generation that includes stationary objects, enhancing target object selection and control comfort by differentiating between relevant and irrelevant objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar-based ACC systems are used to detect objects, then distance and relative speed measurement is enabled, but stationary objects cannot be accurately distinguished from moving target objects
Solution Approach 1:
The patent combines radar sensors with optical sensors (cameras) to create a hybrid detection system. The radar provides distance and relative speed measurements, while the optical sensor captures images for object classification. By merging these two sensing modalities, the system achieves both accurate measurement and reliable target object selection, resolving the contradiction between measurement precision and reliability.
Solution Approach 2:
The control unit acts as an intermediary that receives data from both radar and optical sensors, validates the object data by cross-referencing information from both sources, and determines target object selection. This intermediary validation process ensures that stationary objects are correctly identified and excluded from target object selection, improving both measurement precision and reliability.
2Reliability
If image-based distance assistance system is implemented, then stationary objects can be accurately identified, but system complexity increases compared to radar-based systems
Solution Approach 1:
The control unit is designed to perform multiple functions: it processes radar data for distance measurement, processes optical data for object classification, validates data from both sensors, and determines target object selection. By making the control unit universal and multi-functional, the system achieves high reliability in target object selection without adding separate dedicated hardware components for each function, thus managing system complexity.
3Measurement precision
If environmental data from multiple sensors is processed, then target object selection is improved, but data validation and processing time increases
Solution Approach 1:
The system performs preliminary action by continuously capturing images with the optical sensor and pre-processing this data even before radar detection is needed. The control unit maintains a ready state with pre-processed optical data, so when radar detects an object, the validation process can quickly compare against pre-available optical information, reducing real-time processing time while maintaining high target object selection accuracy.
Data Source
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AI summary
The method (1100) involves determining an object property (1120) of an object in an area in the driving direction ahead of a vehicle by using surroundings data from the surroundings detection attachment. The object property represents a movement state and an object position of the object with regard to the vehicle position and a roadway in the area of the driving direction ahead of the vehicle. A control parameter (1140) is generated as a function of the object property of the object. The object is selected as a target object when the object property fulfills the target object criterion. Independent claims are included for the following: (1) a device for generating a control parameter for a control system of a vehicle; and (2) a computer program product having program code for carrying out a method.