Smart Landmark Positioning via Vehicle Sensor Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for obtaining detailed positioning information of landmark objects, such as street lamps and trees, are inefficient and imprecise, as users struggle to specify the objects and changes in their locations are not effectively managed.
Innovation Solution
A smart-landmark-based positioning system that uses sensors on vehicles to collect data, parse landmark information, and send queries to a server over a wireless network to obtain ground truth data, allowing for precise vehicle operation based on registered landmark locations, with cryptographic key encryption for security and maintenance feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a user subscribes to a land survey company to obtain detailed positioning information of landmark objects, then the user can access positioning data, but it is difficult for the user to precisely specify which landmark object and what position is referred to, leading to imprecise information retrieval
Solution Approach 1:
The system segments landmark identification into multiple components: landmark type (e.g., street lamp, traffic light), specific position (e.g., ground level, top level), and unique identifier. This segmentation allows users to precisely specify landmarks by combining these elements rather than relying on vague descriptions, thereby improving identification precision while maintaining ease of operation through structured input fields.
Solution Approach 2:
The system introduces an intermediary processing layer between the user and the landmark database. This intermediary automatically interprets user specifications, matches them with registered landmark data, and retrieves the correct positioning information. This mediator handles the complexity of precise specification behind the scenes, making the interface user-friendly while ensuring accurate information retrieval.
2Reliability
If landmark objects are manually registered in a database, then positioning information can be stored, but locations and relative positions of landmark objects may change due to damages, moves, or additions, requiring manual updates that are time-consuming and inefficient
Solution Approach 1:
The system implements self-service through automated detection mechanisms. Sensors on vehicles automatically detect landmark objects, capture their positions, and update the database without human intervention. This self-updating mechanism ensures the database remains current with real-world changes while eliminating the need for manual surveying and data entry, thereby maintaining high reliability without sacrificing productivity.
Solution Approach 2:
The system establishes a feedback loop where sensor data from vehicles continuously monitors landmark positions and compares them against the registered database. When discrepancies are detected (indicating moves, damages, or additions), the system automatically triggers update procedures. This feedback mechanism ensures the database remains accurate and current, automatically adapting to changes in the physical environment.
3Measurement precision
If sensor data is collected and processed to obtain landmark information, then precise positioning data can be acquired, but the process of parsing sensor data and matching with database records requires significant computational resources and time
Solution Approach 1:
The system performs preliminary actions by pre-processing sensor data during data collection and organizing it in a standardized format before database queries. Landmark features are extracted and categorized in advance, creating ready-to-match data structures. This preliminary preparation significantly reduces the time required for subsequent matching operations while maintaining high precision in positioning data acquisition.
Data Source
AI summary
Systems and methods are provided for smart-landmark-based positioning. Such methods may include detecting, using a sensor mounted on a vehicle, a landmark object, obtaining landmark information of the detected landmark object, the landmark information including identification of the landmark object and an encrypted location of the landmark object, transmitting, from the vehicle over a wireless network, a query including at least part of the obtained landmark information, receiving, by the vehicle over the wireless network, a query response including additional information of the landmark.