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Found 4 papers, 1 papers with code
Closed-Form Full Map Posteriors for Robot Localization with Lidar Sensors
A popular class of lidar-based grid mapping algorithms computes for each map cell the probability that it reflects an incident laser beam.
Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans
Due to their ubiquity and long-term stability, pole-like objects are well suited to serve as landmarks for vehicle localization in urban environments.
An Analytical Lidar Sensor Model Based on Ray Path Information
However, many common lidar models perform poorly in unstructured, unpredictable environments, they lack a consistent physical model for both mapping and localization, and they do not exploit all the information the sensor provides, e. g. out-of-range measurements.
DCT Maps: Compact Differentiable Lidar Maps Based on the Cosine Transform
Most robot mapping techniques for lidar sensors tessellate the environment into pixels or voxels and assume uniformity of the environment within them.
