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20172021
most cited3D Point Cloud Processing and Learning for Autonomous Driving

34 citations · 44 across the 3 of their papers we have counts for

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6 papers · 1 filter

cs.CV2021

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…

cs.CV2020

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…

cs.CV2020

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…

cs.CV2020★ 34 cited

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…

cs.CV2019★ 2 cited

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…

cs.CV2017★ 8 cited

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…