Road Shape Modeling Using Sensor Resolution at Intersections
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Solution Overview
Problem
Existing recognition devices struggle to accurately recognize complex road shapes, such as intersections, due to inconsistencies between sensor information and map-based models, especially at distances far from the vehicle, leading to inaccurate estimation of intersection shapes.
Innovation Solution
An information processing device that utilizes sensor resolution characteristics to predict road appearances based on distance and generates road models using map and sensor information, incorporating a sensor resolution characteristic management unit, appearance prediction unit, and model generation unit to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the recognition device uses only sensor information to recognize road shape, then the device complexity is reduced, but the measurement precision of road shape recognition deteriorates at distant intersections
Solution Approach 1:
The patent merges map information (prior knowledge of road geometry) with sensor information (actual observations) to create a hybrid recognition system. The map information provides expected road shapes and intersections, while sensor information provides real-time verification, together enabling accurate recognition at all distances without increasing device complexity
Solution Approach 2:
The system performs preliminary action by pre-storing map information about road shapes and intersections before the vehicle reaches them. This advance preparation allows the recognition device to compare expected versus actual road features, improving measurement precision without requiring complex real-time processing
2Measurement precision
If the recognition device models intersections based on map information, then the recognition accuracy improves at near intersections, but the reliability deteriorates at distant intersections due to sensor resolution limitations
Solution Approach 1:
The patent changes the parameter of information source weighting based on distance. For distant intersections where sensor resolution is insufficient, the system relies more heavily on map information. For near intersections where sensor detail is adequate, the system relies more on sensor information. This dynamic parameter adjustment maintains reliability across all distances
Solution Approach 2:
Map information serves as an intermediary between the sensor and the final recognition result. Rather than relying solely on direct sensor observation (which fails at distance) or solely on map data (which lacks real-time verification), the map information mediates by providing expected patterns that guide and validate sensor interpretation at all ranges
3Area of stationary object
If the sensor observes distant intersections, then the coverage area increases, but the measurement precision deteriorates due to sensor resolution characteristics
Solution Approach 1:
The patent applies local quality by treating near and distant observations differently. For distant intersections, the system accepts lower measurement precision from sensors and compensates using map information. For near intersections, the system utilizes high-precision sensor data. This localized approach to quality maintenance allows broad coverage while preserving accuracy where possible
Data Source
AI summary
An information processing device estimates a road shape of a road on which a host vehicle travels based on map information acquired from a map information unit and sensor information acquired from a sensor unit. The information processing device includes a sensor resolution characteristic management unit which manages a sensor resolution characteristic of the sensor unit, which corresponds to a distance from a host vehicle position of the host vehicle to a position where the intersection shape changes, an appearance prediction unit which predicts an appearance of the road corresponding to the distance based on the sensor resolution characteristic acquired from the sensor resolution characteristic management unit, and a model generation unit which generates a road model obtained by modeling the road based on the appearance of the road predicted by the appearance prediction unit.