34 citations · 44 across the 3 of their papers we have counts for
6 papers · 1 filter
Convolutions for Spatial Interaction Modeling
Zhaoen Su, Chao Wang, David Bradley +3
In many different fields interactions between objects play a critical role in determining their behavior. Graph neural networks (GNNs) have emerged as a powerful tool for modeling…
MultiXNet: Multiclass Multistage Multimodal Motion Prediction
Nemanja Djuric, Henggang Cui, Zhaoen Su +13
One of the critical pieces of the self-driving puzzle is understanding the surroundings of a self-driving vehicle (SDV) and predicting how these surroundings will change in the nea…
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting
Gregory P. Meyer, Jake Charland, Shreyash Pandey +4
In this work, we present LaserFlow, an efficient method for 3D object detection and motion forecasting from LiDAR. Unlike the previous work, our approach utilizes the native range…
3D Point Cloud Processing and Learning for Autonomous Driving
Siheng Chen, Baoan Liu, Chen Feng +2
We present a review of 3D point cloud processing and learning for autonomous driving. As one of the most important sensors in autonomous vehicles, light detection and ranging (LiDA…
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving
Gregory P. Meyer, Ankit Laddha, Eric Kee +2
In this paper, we present LaserNet, a computationally efficient method for 3D object detection from LiDAR data for autonomous driving. The efficiency results from processing LiDAR…
Comparing Apples and Oranges: Off-Road Pedestrian Detection on the NREC Agricultural Person-Detection Dataset
Zachary Pezzementi, Trenton Tabor, Peiyun Hu +5
Person detection from vehicles has made rapid progress recently with the advent of multiple highquality datasets of urban and highway driving, yet no large-scale benchmark is avail…