Vehicle Surroundings Display Using Two-Point Object Mapping
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Solution Overview
Problem
Existing parking assistance systems rely on computationally expensive methods to detect objects and calculate collision probabilities, which can lead to delayed or inadequate responses in unforeseen situations, as they require detailed object contour scanning and precise vehicle-object coverage calculations.
Innovation Solution
A method that maps the vehicle's surroundings using two-dimensional Cartesian coordinates to determine the collision probability by describing objects with two points and accounting for position blur, allowing for efficient data sharing across driver assistance systems and enabling autonomous braking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed object contour scanning and precise vehicle-object coverage calculations are used, then measurement precision is improved, but computational complexity increases and response time decreases
Solution Approach 1:
The patent segments the object representation into a minimal set of critical points (first and second points) that define the object's spatial extent. Instead of processing complete contour data, the system divides the object into essential coordinate elements that can be evaluated independently for collision probability, dramatically reducing computational load while maintaining detection accuracy.
Solution Approach 2:
The patent extracts only the necessary geometric information (two coordinate points) from the complete object description. By taking out just the essential spatial parameters needed for collision assessment and discarding redundant contour details, the system achieves fast computation without sacrificing the ability to determine collision probability accurately.
2Measurement precision
If detailed object contour scanning is performed, then measurement precision is improved, but processing time increases
Solution Approach 1:
The patent applies partial action by performing only the minimum necessary measurements - scanning for two critical points that define the object's position and extent rather than scanning the complete contour. This partial measurement approach provides sufficient information for collision probability determination while avoiding the time cost of complete object mapping.
Solution Approach 2:
The system performs preliminary identification of objects using simplified criteria (two points) before conducting more detailed analysis if needed. This preliminary action filters out non-critical objects quickly and directs full processing only to objects that require detailed examination, reducing overall processing time while maintaining precision when necessary.
3Reliability
If complete object mapping is performed, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent creates a simplified copy or representation of the object using only two coordinate points instead of the complete physical object model. This abstract copy contains all necessary information for collision probability calculation while being computationally inexpensive to store and process, maintaining reliability through sufficient spatial information without the complexity of complete object mapping.
4Productivity
If real-time collision probability determination is implemented, then productivity is improved, but measurement precision may deteriorate
Solution Approach 1:
The patent changes the parameters used for object representation from complete contour coordinates to just two critical points. This parameter reduction enables real-time processing by decreasing the data volume, while the strategic selection of these two points ensures they capture the essential spatial information needed for accurate collision probability assessment.
Data Source
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AI summary
The invention relates to a method for displaying the surroundings of a vehicle (5), wherein objects in the surroundings of the vehicle (5) are detected by sensors, and each detected object is described by two coordinate points (11, 13) and a position fuzziness value (15) associated with the respective coordinate point (11, 13), wherein the coordinate points (11, 13) and the position fuzziness values (15) are stored as data in an interface, which can be accessed by driver assistance systems of the vehicle (5). The invention furthermore relates to a method for determining the collision probability of a vehicle (5) with an object, wherein first the surroundings of the vehicle (5) are displaying using said method for displaying the surroundings of a vehicle (5), in a next step a travel path (23) to be passed by the vehicle (5) is determined, and finally the degree of overlap of the object with the travel path (23) and thus the collision probability are determined in consideration of the position fuzziness value (15).