Dynamic Natural Guidance via Movable Object Detection
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Solution Overview
Problem
Conventional navigation systems rely on static geographic data, which limits their ability to provide dynamic and intuitive route guidance, especially in situations where traditional map elements are obstructed or not visible, such as when street signs are hidden by movable objects.
Innovation Solution
The system generates dynamic natural guidance by using image processing and computer vision techniques to identify and analyze movable objects in the vicinity of the user, allowing navigation instructions to reference these objects, such as 'turn left past the parked truck' instead of 'turn left at Elm Street', thereby providing more intuitive and context-aware navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional navigation systems use static geographic data, then the system structure is simple and data storage is efficient, but the navigation guidance cannot adapt to dynamic environments and obscured map elements
Solution Approach 1:
The patent transforms static geographic data into dynamic natural guidance by continuously capturing and processing real-time images of the environment. The system dynamically identifies movable objects and generates navigation instructions that adapt to current conditions, allowing navigation guidance to evolve from fixed map-based directions to flexible, context-aware instructions that respond to changing environmental conditions.
Solution Approach 2:
The patent introduces image processing and object detection algorithms as intermediary components between the user and navigation guidance. These intermediaries analyze visual data to identify movable objects and translate environmental features into natural language instructions, serving as a bridge that converts static map data into dynamic, context-relevant navigation guidance without requiring complete system restructuring.
2Measurement precision
If navigation systems reference traditional map elements, then the guidance is based on established geographic data, but the guidance becomes inaccurate when map elements are obstructed or not visible
Solution Approach 1:
The patent extracts navigation reference information directly from real-time visual data rather than relying on pre-stored map elements. By capturing images and identifying movable objects in the environment, the system extracts relevant spatial information and uses it to generate navigation instructions, effectively removing the dependency on visible traditional map elements and replacing it with directly observed environmental features.
Solution Approach 2:
The patent performs preliminary image capture and object identification before generating navigation instructions. By continuously analyzing the environment in advance and identifying suitable movable objects as reference points, the system prepares context-aware guidance information that accounts for current visibility conditions, ensuring accurate navigation even when traditional map elements are obscured.
3Ease of operation
If navigation systems provide detailed map-based instructions, then comprehensive route information is available, but the instructions lack intuitive context and user-friendliness
Solution Approach 1:
The patent changes the parameter of navigation instruction format from formal map-based directions to natural language descriptions referencing observable objects. By transforming the表达方式 of navigation guidance from abstract street names and intersection descriptions to concrete, visually-verifiable object references, the system improves ease of operation while preserving essential navigational context through object-based descriptors.
Data Source
AI summary
In one embodiment, dynamic natural guidance is generated for a route between an origin and a destination. A controller receives data indicative of a location of the mobile device and data indicative of at least one movable object detected in a vicinity of the mobile device. The data indicative of at least one movable object may be collected by a camera and analyzed. The analysis may include one or more of image processing techniques, temporal measurement, and tracking of movable objects. The controller generates a guidance command based on the location of the mobile device. The guidance command references the at least one movable object detected in the vicinity of the mobile device.