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nuScenes: A multimodal dataset for autonomous driving

nuScenes: A multimodal dataset for autonomous driving

26 March 2019
Holger Caesar
Varun Bankiti
Alex H. Lang
Sourabh Vora
Venice Erin Liong
Qiang Xu
Anush Krishnan
Yuxin Pan
G. Baldan
Oscar Beijbom
    3DPC
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Papers citing "nuScenes: A multimodal dataset for autonomous driving"

46 / 1,196 papers shown
Title
3D Object Detection from a Single Fisheye Image Without a Single Fisheye
  Training Image
3D Object Detection from a Single Fisheye Image Without a Single Fisheye Training Image
Elad Plaut
Erez Ben-Yaacov
Bat El Shlomo
MDE
32
21
0
08 Mar 2020
Inferring Spatial Uncertainty in Object Detection
Inferring Spatial Uncertainty in Object Detection
Zining Wang
Di Feng
Yiyang Zhou
Lars Rosenbaum
Fabian Timm
Klaus C. J. Dietmayer
Masayoshi Tomizuka
Wei Zhan
16
27
0
07 Mar 2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context
  Understanding
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding
Seonguk Park
Gyubok Lee
Manoj Bhat
Jimin Seo
Minseok Kang
Jonathan M Francis
Ashwin R. Jadhav
Paul Pu Liang
Louis-Philippe Morency
136
119
0
06 Mar 2020
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI
Jens Behley
Andres Milioto
C. Stachniss
ISeg
36
67
0
04 Mar 2020
Model Assertions for Monitoring and Improving ML Models
Model Assertions for Monitoring and Improving ML Models
Daniel Kang
Deepti Raghavan
Peter Bailis
Matei A. Zaharia
11
58
0
03 Mar 2020
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data:
  Experience and Practice
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice
Ruwan Wickramarachchi
C. Henson
A. Sheth
14
19
0
29 Feb 2020
Semantically-Guided Representation Learning for Self-Supervised
  Monocular Depth
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
Vitor Campagnolo Guizilini
Rui Hou
Jie Li
Rares Andrei Ambrus
Adrien Gaidon
SSL
MDE
30
228
0
27 Feb 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy
  Improvement
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
Benjamin Eysenbach
Xinyang Geng
Sergey Levine
Ruslan Salakhutdinov
OffRL
18
86
0
25 Feb 2020
3DSSD: Point-based 3D Single Stage Object Detector
3DSSD: Point-based 3D Single Stage Object Detector
Zetong Yang
Yanan Sun
Shu Liu
Jiaya Jia
3DPC
68
929
0
24 Feb 2020
SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic
  Instances
SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances
Yancheng Pan
Biao Gao
Jilin Mei
Sibo Geng
Chengkun Li
Huijing Zhao
3DV
3DPC
23
168
0
21 Feb 2020
Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction
Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction
Bingbin Liu
Ehsan Adeli
Zhangjie Cao
Kuan-Hui Lee
Abhijeet Shenoi
Adrien Gaidon
Juan Carlos Niebles
23
150
0
20 Feb 2020
siaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera
  3D Object Detection
siaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera 3D Object Detection
Irene Cortés
Jorge Beltrán
A. D. L. Escalera
F. García
3DPC
29
8
0
19 Feb 2020
Multi-Modality Cascaded Fusion Technology for Autonomous Driving
Multi-Modality Cascaded Fusion Technology for Autonomous Driving
Hongwu Kuang
Xiaodong Liu
Jingwei Zhang
Zicheng Fang
35
12
0
08 Feb 2020
Measuring the Utilization of Public Open Spaces by Deep Learning: a
  Benchmark Study at the Detroit Riverfront
Measuring the Utilization of Public Open Spaces by Deep Learning: a Benchmark Study at the Detroit Riverfront
Peng Sun
R. Hou
J. Lynch
16
5
0
04 Feb 2020
AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude
  Traffic Surveillance
AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance
Ilker Bozcan
Erdal Kayacan
49
136
0
31 Jan 2020
Probabilistic 3D Multi-Object Tracking for Autonomous Driving
Probabilistic 3D Multi-Object Tracking for Autonomous Driving
Hsu-kuang Chiu
Antonio Prioletti
Jie Li
Jeannette Bohg
3DPC
22
138
0
16 Jan 2020
Trajectron++: Dynamically-Feasible Trajectory Forecasting With
  Heterogeneous Data
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data
Tim Salzmann
Boris Ivanovic
Punarjay Chakravarty
Marco Pavone
33
130
0
09 Jan 2020
Neural Data Server: A Large-Scale Search Engine for Transfer Learning
  Data
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data
Xi Yan
David Acuna
Sanja Fidler
24
43
0
09 Jan 2020
Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based
  Plans
Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans
Nachiket Deo
Mohan M. Trivedi
24
149
0
03 Jan 2020
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via
  Firing of Hotspots
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots
Qi Chen
Lin Sun
Zhixin Wang
Kui Jia
Alan Yuille
3DPC
170
169
0
30 Dec 2019
Learning Predictive Models From Observation and Interaction
Learning Predictive Models From Observation and Interaction
Karl Schmeckpeper
Annie Xie
Oleh Rybkin
Stephen Tian
Kostas Daniilidis
Sergey Levine
Chelsea Finn
DRL
33
60
0
30 Dec 2019
UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in
  Urban Scenes
UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes
W. Wen
Yiyang Zhou
Guohao Zhang
Saman Fahandezh-Saadi
Xiwei Bai
Wei Zhan
Masayoshi Tomizuka
Li-Ta Hsu
20
116
0
19 Dec 2019
Learning a Spatio-Temporal Embedding for Video Instance Segmentation
Learning a Spatio-Temporal Embedding for Video Instance Segmentation
Anthony Hu
Alex Kendall
R. Cipolla
21
19
0
19 Dec 2019
What You See is What You Get: Exploiting Visibility for 3D Object
  Detection
What You See is What You Get: Exploiting Visibility for 3D Object Detection
Peiyun Hu
Jason Ziglar
David Held
Deva Ramanan
3DPC
24
116
0
10 Dec 2019
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun
Henrik Kretzschmar
Xerxes Dotiwalla
Aurelien Chouard
Vijaysai Patnaik
...
Shuyang Cheng
Yu Zhang
Jonathon Shlens
Zhifeng Chen
Dragomir Anguelov
40
2,813
0
10 Dec 2019
CNN-based Lidar Point Cloud De-Noising in Adverse Weather
CNN-based Lidar Point Cloud De-Noising in Adverse Weather
Robin Heinzler
Florian Piewak
Philipp Schindler
W. Stork
33
138
0
09 Dec 2019
CoverNet: Multimodal Behavior Prediction using Trajectory Sets
CoverNet: Multimodal Behavior Prediction using Trajectory Sets
Tung Phan-Minh
E. Grigore
Freddy A. Boulton
Oscar Beijbom
Eric M. Wolff
36
379
0
23 Nov 2019
Argoverse: 3D Tracking and Forecasting with Rich Maps
Argoverse: 3D Tracking and Forecasting with Rich Maps
Ming-Fang Chang
John Lambert
Patsorn Sangkloy
Jagjeet Singh
Sławomir Bąk
...
De Wang
Peter Carr
Simon Lucey
Deva Ramanan
James Hays
3DPC
49
1,278
0
06 Nov 2019
Spatially-Aware Graph Neural Networks for Relational Behavior
  Forecasting from Sensor Data
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
Sergio Casas
Cole Gulino
Renjie Liao
R. Urtasun
AI4CE
174
211
0
18 Oct 2019
CityLearn: Diverse Real-World Environments for Sample-Efficient
  Navigation Policy Learning
CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning
Marvin Chancán
Michael Milford
SSL
27
5
0
10 Oct 2019
Talk2Car: Taking Control of Your Self-Driving Car
Talk2Car: Taking Control of Your Self-Driving Car
Thierry Deruyttere
Simon Vandenhende
Dusan Grujicic
Luc Van Gool
Marie-Francine Moens
LM&Ro
28
124
0
24 Sep 2019
CMTS: Conditional Multiple Trajectory Synthesizer for Generating
  Safety-critical Driving Scenarios
CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios
Wenhao Ding
Mengdi Xu
Ding Zhao
35
52
0
17 Sep 2019
A*3D Dataset: Towards Autonomous Driving in Challenging Environments
A*3D Dataset: Towards Autonomous Driving in Challenging Environments
Quang Pham
P. Sevestre
R. Pahwa
Huijing Zhan
C. H. Pang
Yuda Chen
A. Mustafa
V. Chandrasekhar
Jie Lin
3DPC
3DV
28
142
0
17 Sep 2019
StarNet: Targeted Computation for Object Detection in Point Clouds
StarNet: Targeted Computation for Object Detection in Point Clouds
Jiquan Ngiam
Benjamin Caine
Wei Han
Brandon Yang
Yuning Chai
...
O. Alsharif
Patrick Nguyen
Z. Chen
Jonathon Shlens
Vijay Vasudevan
3DPC
29
111
0
29 Aug 2019
Physics-Based Rendering for Improving Robustness to Rain
Physics-Based Rendering for Improving Robustness to Rain
Shirsendu Sukanta Halder
Jean-François Lalonde
Raoul de Charette
20
110
0
27 Aug 2019
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
Benjin Zhu
Zhengkai Jiang
Xiangxin Zhou
Zeming Li
Gang Yu
3DPC
169
484
0
26 Aug 2019
Benchmarking Robustness in Object Detection: Autonomous Driving when
  Winter is Coming
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Claudio Michaelis
Benjamin Mitzkus
Robert Geirhos
E. Rusak
Oliver Bringmann
Alexander S. Ecker
Matthias Bethge
Wieland Brendel
3DPC
30
437
0
17 Jul 2019
How much real data do we actually need: Analyzing object detection
  performance using synthetic and real data
How much real data do we actually need: Analyzing object detection performance using synthetic and real data
F. Nowruzi
Prince Kapoor
Dhanvin Kolhatkar
Fahed Al Hassanat
R. Laganière
Julien Rebut
36
77
0
16 Jul 2019
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty
  Estimation
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
Lorenzo Bertoni
S. Kreiss
Alexandre Alahi
UQCV
33
117
0
14 Jun 2019
A Survey of Autonomous Driving: Common Practices and Emerging
  Technologies
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Ekim Yurtsever
Jacob Lambert
Alexander Carballo
K. Takeda
58
1,345
0
12 Jun 2019
Disentangling Monocular 3D Object Detection
Disentangling Monocular 3D Object Detection
Andrea Simonelli
Samuel Rota Buló
Lorenzo Porzi
Manuel López-Antequera
Peter Kontschieder
3DPC
23
450
0
29 May 2019
Training a Fast Object Detector for LiDAR Range Images Using Labeled
  Data from Sensors with Higher Resolution
Training a Fast Object Detector for LiDAR Range Images Using Labeled Data from Sensors with Higher Resolution
M. Herzog
Klaus C. J. Dietmayer
3DPC
27
9
0
08 May 2019
RRPN: Radar Region Proposal Network for Object Detection in Autonomous
  Vehicles
RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles
Ramin Nabati
Hairong Qi
ObjD
17
146
0
01 May 2019
Deep Multi-modal Object Detection and Semantic Segmentation for
  Autonomous Driving: Datasets, Methods, and Challenges
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Di Feng
Christian Haase-Schuetz
Lars Rosenbaum
Heinz Hertlein
Claudius Gläser
Fabian Duffhauss
W. Wiesbeck
Klaus C. J. Dietmayer
3DPC
41
988
0
21 Feb 2019
Joint Monocular 3D Vehicle Detection and Tracking
Joint Monocular 3D Vehicle Detection and Tracking
Hou-Ning Hu
Qi-Zhi Cai
Dequan Wang
Ji Lin
Min Sun
Philipp Krahenbuhl
Trevor Darrell
Feng Yu
3DPC
27
210
0
26 Nov 2018
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
208
1,020
0
26 Mar 2018
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