Smart Vehicle 3D Model Aggregation for Blind Spot Compensation
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Solution Overview
Problem
Smart vehicles face challenges in effectively compensating for blind spots and integrating real-time traffic and weather information into navigation, leading to incomplete situational awareness for drivers.
Innovation Solution
Generating a comprehensive 3D model by aggregating sensor data, neighboring vehicle information, traffic data, and weather data, and combining it with detailed map information to enhance navigation and maneuvering capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If sensor data is used to generate 3D models for navigation, then situational awareness is improved, but blind spots remain in the sensor's field of view
Solution Approach 1:
The patent combines multiple 3D models from different sensors (cameras, radar, LIDAR) and integrates them with map data and real-time traffic information to create a comprehensive environmental model that fills blind spots and provides complete situational awareness
2Reliability
If real-time traffic and weather information is integrated into navigation, then driving safety is improved, but system complexity increases
Solution Approach 1:
The navigation system is designed to handle multiple data types (sensor data, map information, traffic data, weather data) through a unified processing framework that generates comprehensive 3D models, allowing the same system to perform multiple functions without proportionally increasing complexity
3Measurement precision
If comprehensive 3D models are generated by aggregating multiple data sources, then navigation accuracy is improved, but data processing time increases
Solution Approach 1:
The system pre-processes and stores map information in structured formats before runtime, and uses predictive algorithms to anticipate traffic patterns and weather conditions, reducing the computational burden during real-time navigation while maintaining high accuracy
Data Source
AI summary
A smart vehicle can be operated by generating a 3D model of a sensor's field of view; receiving information from neighboring vehicles to compensate for blindspots in the sensor's field of view and in a driver's field of view; receiving traffic information, weather information; adjusting one or more characteristics of the plurality of 3D models based on the received traffic and weather information and blindspot information; aggregating the plurality of 3D models to generate a comprehensive 3D model; and combining the comprehensive 3D model with detailed map information; and using the combined comprehensive 3D model with detailed map information to maneuver the vehicle.