33 citations · 46 across the 8 of their papers we have counts for
15 papers
Wildcat: Online Continuous-Time 3D Lidar-Inertial SLAM
Milad Ramezani, Kasra Khosoussi, Gavin Catt +5
We present Wildcat, a novel online 3D lidar-inertial SLAM system with exceptional versatility and robustness. At its core, Wildcat combines a robust real-time lidar-inertial odomet…
Dense Uncertainty Estimation
Jing Zhang, Yuchao Dai, Mochu Xiang +7
Deep neural networks can be roughly divided into deterministic neural networks and stochastic neural networks.The former is usually trained to achieve a mapping from input space to…
DeepSeagrass Dataset
Scarlett Raine, Ross Marchant, Peyman Moghadam +3
We introduce a dataset of seagrass images collected by a biologist snorkelling in Moreton Bay, Queensland, Australia, as described in our publication: arXiv:2009.09924. The images…
Multi-species Seagrass Detection and Classification from Underwater Images
Scarlett Raine, Ross Marchant, Peyman Moghadam +3
Underwater surveys conducted using divers or robots equipped with customized camera payloads can generate a large number of images. Manual review of these images to extract ecologi…
Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM
Chanoh Park, Peyman Moghadam, Jason Williams +3
Map-centric SLAM utilizes elasticity as a means of loop closure. This approach reduces the cost of loop closure while still provides large-scale fusion-based dense maps, when compa…
Canopy Density Estimation in Perennial Horticulture Crops Using 3D Spinning Lidar SLAM
Thomas Lowe, Peyman Moghadam, Everard Edwards +1
We propose a novel, canopy density estimation solution using a 3D ray cloud representation for perennial horticultural crops at the field scale. To attain high spatial and temporal…