Pedestrian Detection via Extracted Parameter Thresholds
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Solution Overview
Problem
Current systems face challenges in dynamically detecting pedestrian activity for vehicles, particularly for autonomous and semi-autonomous vehicles, due to the resource-intensive nature of pedestrian-specific movement data, which limits their ability to optimize use cases.
Innovation Solution
A method and apparatus that utilize image processing models to determine pedestrian parameters from data objects received from vehicles, assign pedestrian flow compartments based on vehicle trip information, and provide safety alert warnings when parameters do not meet thresholds, using a pedestrian flow matrix and cloud services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complete data models are used to determine pedestrian-specific movement data, then measurement precision is improved, but use of energy by moving object increases due to resource intensive computing
Solution Approach 1:
The patent extracts only the essential pedestrian movement parameters needed for safety decisions rather than processing complete data models. The system identifies and processes only relevant features from sensor data, removing unnecessary computational overhead while maintaining adequate measurement precision for pedestrian detection and safety warnings.
Solution Approach 2:
The patent applies different levels of data processing quality to different scenarios. Instead of uniformly applying complete data models to all situations, the system adapts the level of analysis based on local conditions such as pedestrian density, vehicle speed, and environmental factors, optimizing computational resource usage while maintaining safety.
2Reliability
If real-time pedestrian monitoring is implemented, then reliability is improved, but device complexity increases due to multiple processing components
Solution Approach 1:
The patent merges multiple processing functions into integrated components. The system combines pedestrian detection, parameter analysis, threshold comparison, and warning generation into a unified processing pipeline, reducing the number of separate components while maintaining real-time monitoring capability and reliability.
Solution Approach 2:
The patent performs preliminary processing of pedestrian data by pre-establishing parameter thresholds and classification criteria. This preliminary action allows the system to quickly compare real-time data against pre-defined standards without performing complex analysis for each new data point, reducing operational complexity while maintaining detection reliability.
Data Source
AI summary
A method, apparatus, and computer program product are provided for dynamically detecting pedestrian activity. The method includes receiving one or more data objects from a vehicle. The one or more data objects may be processed using an image processing model to determine one or more pedestrian parameters. The method further includes determining whether the one or more pedestrian parameters satisfy one or more pedestrian parameter thresholds. In an instance the one or more pedestrian parameters do not satisfy the one or more pedestrian parameter thresholds, the method further includes causing a safety alert warning to be provided to one or more other vehicles. Corresponding apparatuses and computer program products are also provided.