The paper shows that monocular depth estimation from foundation models, enhanced with SLAM rescaling, edge masking, and temporal smoothing, can match LiDAR for off-road robot navigation.
Terrainnet: Visual modeling of complex terrain for high- speed, off-road navigation
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STALC presents a graph-based hierarchical planner with mixed-integer programming for multi-robot coordination in reconnaissance scenarios, demonstrated in simulation and hardware.
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An Open-Source LiDAR and Monocular Off-Road Autonomous Navigation Stack
The paper shows that monocular depth estimation from foundation models, enhanced with SLAM rescaling, edge masking, and temporal smoothing, can match LiDAR for off-road robot navigation.
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Stratified Topological Autonomy for Long-Range Coordination (STALC)
STALC presents a graph-based hierarchical planner with mixed-integer programming for multi-robot coordination in reconnaissance scenarios, demonstrated in simulation and hardware.