IEEE

Beyond the Frontier: Predicting Unseen Walls From Occupancy Grids by Learning From Floor Plans

Abstract: In this letter, we tackle the challenge of predicting the unseen walls of a partially observed environment as a set of 2D line segments, conditioned on occupancy grids integrated along the ...
GitHub

OccMamba: Semantic Occupancy Prediction with State Space Models

Training deep learning models for semantic occupancy prediction is challenging due to factors such as a large number of occupancy cells, severe occlusion, limited visual cues, complicated driving ...
GitHub

Real-Time Data Pipeline: Occupancy Dataset

Real-Time Data Pipeline: Occupancy Dataset This project demonstrates a real-time data pipeline for processing the Occupancy dataset, using Apache NiFi, Apache Kafka, Python, and PostgreSQL. It ...
IEEE

Occupancy Grid Mapping Without Ray-Casting for High-Resolution LiDAR Sensors

Abstract: Occupancy mapping is a fundamental component of robotic systems to reason about the unknown and known regions of the environment. This article presents an efficient occupancy mapping ...