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20132023
most citedWhen, Where, and What? A New Dataset for Anomaly Detection in Driving Videos

38 citations · 124 across the 28 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020

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…

cs.CV2020★ 14 cited

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…

cs.CV2020★ 38 cited

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…

eess.SY2020★ 1 cited

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…

cs.CG2020★ 8 cited

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…