Adaptive Occupied-Area Collision Prioritization for Road Users
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing collision avoidance systems for vehicles face challenges in processing complex traffic data in real-time with limited resources, leading to delayed reaction times in potentially hazardous situations.
Innovation Solution
A method that detects vehicle surroundings, classifies road users into prioritized groups based on their location and type, and determines collision probabilities to quickly filter out relevant data, allowing for timely adjustments in driving behavior to avoid accidents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex traffic data from multiple sensors is processed in real-time to identify all road users, then collision detection completeness is improved, but processing time and computational resources increase
Solution Approach 1:
The patent segments the sensor data processing by dividing road users into different priority groups based on their classification (e.g., pedestrians, cyclists, vehicles) and spatial location relative to the vehicle. This segmentation allows the system to process high-priority objects first while potentially reducing or deferring processing of low-priority objects, thus maintaining collision detection completeness for critical objects while reducing overall processing time and resource consumption.
2Reliability
If all detected road users are processed with equal priority to ensure comprehensive safety analysis, then safety coverage is improved, but reaction speed to critical hazards deteriorates
Solution Approach 1:
The patent applies local quality by assigning different processing priorities to different road user groups based on their classification and spatial context. High-priority groups (such as pedestrians in close proximity or objects in critical zones) receive immediate and intensive processing resources, while low-priority groups receive reduced processing. This ensures that safety coverage is maintained for all objects while reaction speed is optimized for critical hazards.
3Measurement precision
If sensor data processing includes detailed classification and prioritization of all road users, then decision accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent implements preliminary action by performing road user classification and priority assignment before the actual collision risk assessment and decision-making processes. This preliminary structuring of data into priority groups reduces the computational complexity of subsequent processing steps, as the system only needs to perform detailed analysis on high-priority objects rather than all detected objects, thereby maintaining decision accuracy while reducing overall computational complexity.
Data Source
AI summary
The present invention relates to a method for avoiding collisions of a moving vehicle with other road users in the surroundings of the vehicle, comprising at least the method steps of: a) detecting, by means of one or more sensors, the vehicle surroundings and the other road users located therein; b) dividing the vehicle surroundings into a plurality of occupied areas; c) classifying the other road users detected in method step a), wherein, by means of the classification, at least one road user group is assigned to each of the other road users; d) prioritising the road user classified in method step c), taking into account both the classification carried out in method step c) and the occupied area defined in method step b), wherein road users from one or more predetermined road user groups in the particular occupied area are given a high priority and road users from other, non-predetermined road user groups in the particular occupied area are given a lower priority; and e) determining the probability of collision of the other road users with the vehicle, wherein the collision probability is determined in accordance with the prioritisation carried out in method step d) and the collision probability of the other road users having a high priority is determined first; f) changing or maintaining the current driving behaviour of the vehicle on the basis of the collision probabilities determined in method step e).