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1911.02620
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Argoverse: 3D Tracking and Forecasting with Rich Maps
6 November 2019
Ming-Fang Chang
John Lambert
Patsorn Sangkloy
Jagjeet Singh
Sławomir Bąk
Andrew Hartnett
De Wang
Peter Carr
Simon Lucey
Deva Ramanan
James Hays
3DPC
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Papers citing
"Argoverse: 3D Tracking and Forecasting with Rich Maps"
50 / 743 papers shown
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SceNDD: A Scenario-based Naturalistic Driving Dataset
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0
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Hyunkyoo Park
97
2
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22 Dec 2022
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark
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Zheng Zhu
Yunpeng Zhang
Guan Huang
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Ziwei Chen
Xingang Wang
75
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17 Dec 2022
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving
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C. Park
Andre Cornman
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16 Dec 2022
Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection
John Lambert
James Hays
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Sheng Zhou
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Deniz Gündüz
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0
07 Dec 2022
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68
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0
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113
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Iván Barton
Ádám Butykai
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Dávid Kiss
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Levente Peto
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Szabolcs Vajna
Bálint Varga
116
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Dynamic Conditional Imitation Learning for Autonomous Driving
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Mohamed Moustafa
J. Honer
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Achal Dave
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Shu Kong
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Jungho Kim
Ju-seok Yun
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105
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Monocular BEV Perception of Road Scenes via Front-to-Top View Projection
Wenxi Liu
Qi Li
Weixiang Yang
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Shengfeng He
Jianxiong Pan
82
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J. Lu
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109
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Jing Zhang
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Hamid Rezatofighi
Feng Yu
Dacheng Tao
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MDE
154
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Large Scale Real-World Multi-Person Tracking
Bing Shuai
Alessandro Bergamo
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75
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Semantic 3D Grid Maps for Autonomous Driving
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Maciej K. Wozniak
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104
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P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving
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114
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123
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Jianru Xue
131
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Fan Wang
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182
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Henggang Cui
109
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Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs
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Christoffer Petersson
Miguel Ángel Sotelo
David Fernández Llorca
83
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0
28 Oct 2022
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Sida Peng
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106
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27 Oct 2022
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds
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151
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IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes
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Dongbin Zhao
88
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PCGen: Point Cloud Generator for LiDAR Simulation
Chenqi Li
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Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving
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80
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Scenario-based Evaluation of Prediction Models for Automated Vehicles
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81
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Continual Learning with Evolving Class Ontologies
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Shu Kong
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Exploiting map information for self-supervised learning in motion forecasting
Caio Azevedo
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S. Sabatini
D. Tsishkou
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Unsupervised confidence for LiDAR depth maps and applications
Andrea Conti
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Filippo Aleotti
S. Mattoccia
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CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization
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S. Pini
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Exploring Attention GAN for Vehicle Motion Prediction
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BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video
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GANet: Goal Area Network for Motion Forecasting
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SIND: A Drone Dataset at Signalized Intersection in China
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Wenbo Shao
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Weida Wang
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85
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