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20172021
most citedCenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection

407 citations · 668 across the 14 of their papers we have counts for

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23 papers · 1 filter

cs.CV20212 cited

CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking

Ramin Nabati, Landon Harris, Hairong Qi

3D multi-object tracking is a crucial component in the perception system of autonomous driving vehicles. Tracking all dynamic objects around the vehicle is essential for tasks such…

cs.CV2020407 cited

CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection

Ramin Nabati, Hairong Qi

The perception system in autonomous vehicles is responsible for detecting and tracking the surrounding objects. This is usually done by taking advantage of several sensing modaliti…

cs.CV202032 cited

Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles

Ramin Nabati, Hairong Qi

In this paper we present a novel radar-camera sensor fusion framework for accurate object detection and distance estimation in autonomous driving scenarios. The proposed architectu…

cs.CV2020

Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery

Razieh Kaviani Baghbaderani, Ying Qu, Hairong Qi +1

Land cover classification of satellite imagery is an important step toward analyzing the Earth's surface. Existing models assume a closed-set setting where both the training and te…

cs.CV2020101 cited

Unsupervised Pansharpening Based on Self-Attention Mechanism

Ying Qu, Razieh Kaviani Baghbaderani, Hairong Qi +1

Pansharpening is to fuse a multispectral image (MSI) of low-spatial-resolution (LR) but rich spectral characteristics with a panchromatic image (PAN) of high-spatial-resolution (HR…

cs.CV2019

Context Aware Road-user Importance Estimation (iCARE)

Alireza Rahimpour, Sujitha Martin, Ashish Tawari +1

Road-users are a critical part of decision-making for both self-driving cars and driver assistance systems. Some road-users, however, are more important for decision-making than ot…