Related Experiment Video
Updated: Jul 29, 2025

Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands
Published on: August 29, 2019
Machine learning-aided LiDAR range estimation
Abstract:
Automotive light detection and ranging (LiDAR) requires accurate and computationally efficient range estimation methods. At present, such efficiency is achieved at the cost of curtailing the dynamic range of a LiDAR receiver. In this Letter, we propose using decision tree ensemble machine learning models to overcome such a trade-off. Simple and yet powerful models are developed and proven capable of performing accurate measurements across a 45-dB dynamic range.
Related Concept Videos
Electronic Distance Measuring Instruments
Common Leveling Mistakes and Errors
Design Example: Measuring Distance Between Two Points with Obstructions

