D-BDM reduces update time and memory in LiDAR 3D occupancy mapping by restricting ray casting to boundary exteriors and enabling direct boundary updates.
Fuel: Fast uav exploration using incremental frontier structure and hierarchical planning
3 Pith papers cite this work. Polarity classification is still indexing.
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Introduces an incremental reachable graph and structural priors for multi-floor ground robot exploration, showing improved efficiency in simulation and real-time onboard performance.
A vision-only system using sparse topological nodes for frontiers enables efficient autonomous exploration on palm-sized UAVs with minimal memory and compute.
citing papers explorer
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D-BDM: A Direct and Efficient Boundary-Based Occupancy Grid Mapping Framework for LiDARs
D-BDM reduces update time and memory in LiDAR 3D occupancy mapping by restricting ray casting to boundary exteriors and enabling direct boundary updates.
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Multi-Floor Exploration for Ground Robots via an Incremental Reachable Graph and Structural Priors
Introduces an incremental reachable graph and structural priors for multi-floor ground robot exploration, showing improved efficiency in simulation and real-time onboard performance.
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Palm-sized Omnidirectional Vision-Based UAV Exploration with Sparse Topological Map Guidance
A vision-only system using sparse topological nodes for frontiers enables efficient autonomous exploration on palm-sized UAVs with minimal memory and compute.