Image-Based Meeting Location Selection for Safe Pickup Navigation
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Solution Overview
Problem
Existing navigation systems fail to effectively determine suitable meeting locations for carriers and passengers with varying mobility modes, such as vehicles and pedestrians, considering factors like safety, accessibility, and visibility.
Innovation Solution
A computing system that analyzes location data and semantic tags derived from image content to identify meeting locations that satisfy criteria for carrier and passenger suitability, generating navigational instructions for efficient and safe meeting coordination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If navigation systems use basic location data for meeting location determination, then the system complexity is low, but the meeting location suitability (safety, accessibility, visibility) is insufficient
Solution Approach 1:
The patent segments the meeting location determination process into multiple independent analysis modules: image content analysis module, semantic tag generation module, location suitability evaluation module, and navigational instruction generation module. Each module handles a specific aspect of the determination process, allowing the system to achieve high reliability through comprehensive analysis while managing complexity through modular architecture.
Solution Approach 2:
The patent transitions from traditional two-dimensional map-based location data to three-dimensional image content analysis with semantic tags. By incorporating visual features, spatial relationships, and semantic information from images, the system evaluates meeting location suitability across multiple dimensions including visibility, accessibility, and safety, significantly improving determination accuracy.
2Measurement precision
If navigation systems analyze multiple image features and semantic tags for meeting locations, then the accuracy of location suitability determination is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary actions by pre-processing images to generate semantic tags and extract features before the actual meeting location determination. Image content analysis, feature extraction, and semantic tag generation are conducted in advance, creating a ready-to-use database of location characteristics that can be quickly queried and evaluated when determining meeting locations, thus reducing real-time processing requirements.
3Ease of operation
If the system generates detailed navigational instructions based on image content analysis, then the ease of operation for users is improved, but the computational resources and energy consumption increase
Solution Approach 1:
The patent extracts only the essential and relevant features from comprehensive image content analysis to generate navigational instructions. Rather than processing and presenting all available image data, the system identifies and extracts key semantic tags and features that are most useful for navigation, such as prominent landmarks, access points, and safety indicators, thereby reducing computational energy consumption while maintaining user convenience.
Data Source
AI summary
Provided are methods, systems, devices, apparatuses, and tangible non-transitory computer readable media for navigation and geocoding. The disclosed technology can perform operations including accessing location data and semantic tags. The location data can include information associated with locations including the location of a carrier and the location of a passenger. The semantic tags can include information associated with features of the locations. The location data and the semantic tags that satisfy meeting criteria can be identified. The meeting criteria can be associated with a suitability of a location for the carrier and the passenger. A meeting location for the carrier and the passenger can be determined based on the location data and the semantic tags that satisfy the meeting criteria. Furthermore, indications associated with the meeting location can be generated based on the features of the meeting location.