Objective Error Criterion for Evaluation of Mapping Accuracy Based on Sensor Time-of-Flight Measurements.

Area of Science:

• Robotics and Sensor Technology
• Geomatics and Cartography

Background:

• Accurate mapping of unknown environments is crucial for robotics and autonomous systems.
• Evaluating map accuracy from diverse sensing modalities and processing techniques presents a significant challenge.

Purpose of the Study:

• To propose a novel, objective error criterion for assessing the accuracy of environment maps.
• To provide a flexible tool for evaluating the goodness of fit for curves and shapes within map data.

Main Methods:

• Development of a generalized objective error criterion for map accuracy assessment.
• Experimental validation using ultrasonic mapping with time-of-flight measurements.
• Comparison of the proposed criterion against established metrics like the Hausdorff metric and median error.

Main Results:

• The proposed criterion effectively evaluates map accuracy from range measurements.
• Demonstrated applicability to discrete point maps from various sensing modalities and processing techniques.
• Experimental results show comparable and complementary performance to existing metrics.

Conclusions:

• The developed error criterion offers a general and flexible approach to map accuracy evaluation.
• It is suitable for diverse mapping applications, including those employing different sensors and algorithms.
• This criterion enhances the reliability of map-based navigation and analysis in unknown environments.