38 citations · 124 across the 28 of their papers we have counts for
5 papers · 1 filter
Polylidar3D -- Fast Polygon Extraction from 3D Data
Jeremy Castagno, Ella Atkins
Flat surfaces captured by 3D point clouds are often used for localization, mapping, and modeling. Dense point cloud processing has high computation and memory costs making low-dime…
BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation
Yu Yao, Ella Atkins, Matthew Johnson-Roberson +2
Pedestrian trajectory prediction is an essential task in robotic applications such as autonomous driving and robot navigation. State-of-the-art trajectory predictors use a conditio…
When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos
Yu Yao, Xizi Wang, Mingze Xu +3
Video anomaly detection (VAD) has been extensively studied. However, research on egocentric traffic videos with dynamic scenes lacks large-scale benchmark datasets as well as effec…
Scalable Vehicle Team Continuum Deformation Coordination with Eigen Decomposition
Hossein Rastgoftar, Ella M. Atkins, Ilya Kolmanovsky
The continuum deformation leader-follower cooperative control strategy models vehicles in a multi-agent system as particles of a deformable body. A desired continuum deformation is…
Polylidar -- Polygons from Triangular Meshes
Jeremy Castagno, Ella Atkins
This paper presents Polylidar, an efficient algorithm to extract non-convex polygons from 2D point sets, including interior holes. Plane segmented point clouds can be input into Po…