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Autonomous Driving in Unstructured Environments: How Far Have We Come?
Deep bayesian future fusion for self-supervised, high-resolution, off-road map**
High-speed off-road navigation requires long-range, high-resolution maps to enable robots
to safely navigate over different surfaces while avoiding dangerous obstacles. However, due …
to safely navigate over different surfaces while avoiding dangerous obstacles. However, due …
Interaction-aware control for robotic vegetation override in off-road environments
Robotic systems tasked with completing off-road economic, military, or humanitarian
missions often encounter environmental objects when traversing unstructured terrains …
missions often encounter environmental objects when traversing unstructured terrains …
Amco: Adaptive multimodal coupling of vision and proprioception for quadruped robot navigation in outdoor environments
We present AMCO, a novel navigation method for quadruped robots that adaptively
combines vision-based and proprioception-based perception capabilities. Our approach …
combines vision-based and proprioception-based perception capabilities. Our approach …
Traverse the non-traversable: Estimating traversability for wheeled mobility on vertically challenging terrain
Most traversability estimation techniques divide off-road terrain into traversable (eg,
pavement, gravel, and grass) and non-traversable (eg, boulders, vegetation, and ditches) …
pavement, gravel, and grass) and non-traversable (eg, boulders, vegetation, and ditches) …
Velociraptor: Leveraging Visual Foundation Models for Label-Free, Risk-Aware Off-Road Navigation
Traversability analysis in off-road regimes is a challenging task that requires understanding
of multi-modal inputs such as camera and LiDAR. These measurements are often sparse …
of multi-modal inputs such as camera and LiDAR. These measurements are often sparse …
Top-nav: Legged navigation integrating terrain, obstacle and proprioception estimation
Legged navigation is typically examined within open-world, off-road, and challenging
environments. In these scenarios, estimating external disturbances requires a complex …
environments. In these scenarios, estimating external disturbances requires a complex …
Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions
Robust road segmentation in all road conditions is required for safe autonomous driving and
advanced driver assistance systems. Supervised deep learning methods provide accurate …
advanced driver assistance systems. Supervised deep learning methods provide accurate …