activity
20172026
most citedThe Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth

233 citations · 341 across the 21 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

cs.CV2024

The Bare Necessities: Designing Simple, Effective Open-Vocabulary Scene Graphs

Christina Kassab, Matías Mattamala, Sacha Morin +4

3D open-vocabulary scene graph methods are a promising map representation for embodied agents, however many current approaches are computationally expensive. In this paper, we reex…

cs.RO2024★ 2 cited

Markerless Aerial-Terrestrial Co-Registration of Forest Point Clouds using a Deformable Pose Graph

Benoit Casseau, Nived Chebrolu, Matias Mattamala +2

For biodiversity and forestry applications, end-users desire maps of forests that are fully detailed, from the forest floor to the canopy. Terrestrial laser scanning and aerial las…

cs.RO2024★ 5 cited

AutoInspect: Towards Long-Term Autonomous Industrial Inspection

Michal Staniaszek, Tobit Flatscher, Joseph Rowell +6

We give an overview of AutoInspect, a ROS-based software system for robust and extensible mission-level autonomy. Over the past three years AutoInspect has been deployed in a varie…

cs.RO2024★ 2 cited

Autonomous Forest Inventory with Legged Robots: System Design and Field Deployment

Matías Mattamala, Nived Chebrolu, Benoit Casseau +5

We present a solution for autonomous forest inventory with a legged robotic platform. Compared to their wheeled and aerial counterparts, legged platforms offer an attractive balanc…

cs.RO2024★ 2 cited

Wild Visual Navigation: Fast Traversability Learning via Pre-Trained Models and Online Self-Supervision

Matías Mattamala, Jonas Frey, Piotr Libera +5

Natural environments such as forests and grasslands are challenging for robotic navigation because of the false perception of rigid obstacles from high grass, twigs, or bushes. In…

cs.RO2024★ 27 cited

SiLVR: Scalable Lidar-Visual Reconstruction with Neural Radiance Fields for Robotic Inspection

Yifu Tao, Yash Bhalgat, Lanke Frank Tarimo Fu +3

We present a neural-field-based large-scale reconstruction system that fuses lidar and vision data to generate high-quality reconstructions that are geometrically accurate and capt…

cs.RO2024★ 19 cited

Online Tree Reconstruction and Forest Inventory on a Mobile Robotic System

Leonard Freißmuth, Matias Mattamala, Nived Chebrolu +3

Terrestrial laser scanning (TLS) is the standard technique used to create accurate point clouds for digital forest inventories. However, the measurement process is demanding, requi…

cs.RO2024

Evaluation and Deployment of LiDAR-based Place Recognition in Dense Forests

Haedam Oh, Nived Chebrolu, Matias Mattamala +2

Many LiDAR place recognition systems have been developed and tested specifically for urban driving scenarios. Their performance in natural environments such as forests and woodland…

cs.RO2024★ 1 cited

Exosense: A Vision-Based Scene Understanding System For Exoskeletons

Jianeng Wang, Matias Mattamala, Christina Kassab +5

Self-balancing exoskeletons are a key enabling technology for individuals with mobility impairments. While the current challenges focus on human-compliant hardware and control, unl…