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One Thousand and One Hours: Self-driving Motion Prediction Dataset

One Thousand and One Hours: Self-driving Motion Prediction Dataset

25 June 2020
J. Houston
G. Zuidhof
Luca Bergamini
Yawei Ye
Long Chen
Ashesh Jain
Sammy Omari
V. Iglovikov
Peter Ondruska
ArXivPDFHTML

Papers citing "One Thousand and One Hours: Self-driving Motion Prediction Dataset"

34 / 84 papers shown
Title
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks
Nigamaa Nayakanti
Rami Al-Rfou
Aurick Zhou
Kratarth Goel
Khaled S. Refaat
Benjamin Sapp
AI4TS
42
235
0
12 Jul 2022
Nocturne: a scalable driving benchmark for bringing multi-agent learning
  one step closer to the real world
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world
Eugene Vinitsky
Nathan Lichtlé
Xiaomeng Yang
Brandon Amos
Jakob N. Foerster
OffRL
38
51
0
20 Jun 2022
High-Definition Map Generation Technologies For Autonomous Driving
High-Definition Map Generation Technologies For Autonomous Driving
Zhibin Bao
Sabir Hossain
H. Lang
Xianke Lin
22
32
0
11 Jun 2022
MEAT: Maneuver Extraction from Agent Trajectories
MEAT: Maneuver Extraction from Agent Trajectories
Julian Schmidt
Julian Jordan
D. Raba
Tobias Welz
Klaus C. J. Dietmayer
28
3
0
10 Jun 2022
StopNet: Scalable Trajectory and Occupancy Prediction for Urban
  Autonomous Driving
StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving
Jinkyu Kim
R. Mahjourian
Scott Ettinger
Mayank Bansal
Brandyn White
Benjamin Sapp
Drago Anguelov
15
23
0
02 Jun 2022
Cross-view Transformers for real-time Map-view Semantic Segmentation
Cross-view Transformers for real-time Map-view Semantic Segmentation
Brady Zhou
Philipp Krahenbuhl
ViT
33
271
0
05 May 2022
SelfD: Self-Learning Large-Scale Driving Policies From the Web
SelfD: Self-Learning Large-Scale Driving Policies From the Web
Jimuyang Zhang
Ruizhao Zhu
Eshed Ohn-Bar
16
20
0
21 Apr 2022
Deep Interactive Motion Prediction and Planning: Playing Games with
  Motion Prediction Models
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models
J. Vázquez
Alexander Liniger
Wilko Schwarting
Daniela Rus
Luc Van Gool
24
45
0
05 Apr 2022
Evaluating Object (mis)Detection from a Safety and Reliability
  Perspective: Discussion and Measures
Evaluating Object (mis)Detection from a Safety and Reliability Perspective: Discussion and Measures
Andrea Ceccarelli
Leonardo Montecchi
27
10
0
04 Mar 2022
Quantity over Quality: Training an AV Motion Planner with Large Scale
  Commodity Vision Data
Quantity over Quality: Training an AV Motion Planner with Large Scale Commodity Vision Data
Lukas Platinsky
Tayyab Naseer
Hui Chen
Benjamin A. Haines
Haoyue Zhu
Hugo Grimmett
Luca Del Pero
27
1
0
03 Mar 2022
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for
  multiple uncertainty types and tasks
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks
Gianni Franchi
Xuanlong Yu
Andrei Bursuc
Ángel Tena
Rémi Kazmierczak
Séverine Dubuisson
Emanuel Aldea
David Filliat
UQCV
23
28
0
02 Mar 2022
A Survey on Safety-Critical Driving Scenario Generation -- A
  Methodological Perspective
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective
Wenhao Ding
Chejian Xu
Mansur Arief
Hao-ming Lin
Bo-wen Li
Ding Zhao
30
144
0
04 Feb 2022
Ad-datasets: a meta-collection of data sets for autonomous driving
Ad-datasets: a meta-collection of data sets for autonomous driving
Daniel Bogdoll
Felix Schreyer
J. Marius Zöllner
31
16
0
03 Feb 2022
A Survey on RGB-D Datasets
A Survey on RGB-D Datasets
Alexandre Lopes
Roberto Souza
Hélio Pedrini
3DV
MDE
26
33
0
15 Jan 2022
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles
Sammy Sidhu
Linda Wang
Tayyab Naseer
A. Malhotra
Jay Chia
Aayush Ahuja
Ella Rasmussen
Qiangui Huang
Ray Gao
37
1
0
01 Dec 2021
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via
  Regularized Domain Concatenation
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation
Lingdong Kong
N. Quader
Venice Erin Liong
21
48
0
30 Nov 2021
SVG-Net: An SVG-based Trajectory Prediction Model
SVG-Net: An SVG-based Trajectory Prediction Model
Mohammadhossein Bahari
Vahid Zehtab
Sadegh Khorasani
Sana Ayromlou
Saeed Saadatnejad
Alexandre Alahi
3DPC
24
3
0
07 Oct 2021
Injecting Planning-Awareness into Prediction and Detection Evaluation
Injecting Planning-Awareness into Prediction and Detection Evaluation
Boris Ivanovic
Marco Pavone
74
31
0
07 Oct 2021
Urban Driver: Learning to Drive from Real-world Demonstrations Using
  Policy Gradients
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients
Oliver Scheel
Luca Bergamini
Maciej Wołczyk
Bla.zej Osiñski
Peter Ondruska
37
104
0
27 Sep 2021
Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic
  Segmentation and Tracking
Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking
Whye Kit Fong
Rohit Mohan
Juana Valeria Hurtado
Lubing Zhou
Holger Caesar
Oscar Beijbom
Abhinav Valada
48
176
0
08 Sep 2021
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous
  Driving
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
Xuanchi Ren
Tao Yang
Erran L. Li
Alexandre Alahi
Qifeng Chen
30
24
0
03 Sep 2021
Reimagining an autonomous vehicle
Reimagining an autonomous vehicle
Jeffrey Hawke
E. Haibo
Vijay Badrinarayanan
Alex Kendall
29
11
0
12 Aug 2021
Autonomy 2.0: Why is self-driving always 5 years away?
Autonomy 2.0: Why is self-driving always 5 years away?
Ashesh Jain
Luca Del Pero
Hugo Grimmett
Peter Ondruska
13
44
0
16 Jul 2021
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers
Apratim Bhattacharyya
Daniel Olmeda Reino
Mario Fritz
Bernt Schiele
21
25
0
22 Jun 2021
NuPlan: A closed-loop ML-based planning benchmark for autonomous
  vehicles
NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles
Holger Caesar
Juraj Kabzan
Kok Seang Tan
Whye Kit Fong
Eric M. Wolff
A. Lang
L. Fletcher
Oscar Beijbom
Sammy Omari
29
272
0
22 Jun 2021
MODISSA: a multipurpose platform for the prototypical realization of
  vehicle-related applications using optical sensors
MODISSA: a multipurpose platform for the prototypical realization of vehicle-related applications using optical sensors
Björn Borgmann
Volker Schatz
Marcus Hammer
Marcus Hebel
Michael Arens
Uwe Stilla
19
6
0
28 May 2021
Heterogeneous-Agent Trajectory Forecasting Incorporating Class
  Uncertainty
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty
Boris Ivanovic
Kuan-Hui Lee
P. Tokmakov
Blake Wulfe
R. McAllister
Adrien Gaidon
Marco Pavone
22
35
0
26 Apr 2021
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via
  Differentiable Simulation
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation
Adam Scibior
Vasileios Lioutas
Daniele Reda
Peyman Bateni
Frank D. Wood
VGen
56
47
0
22 Apr 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving : The
  Waymo Open Motion Dataset
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
Scott Ettinger
Shuyang Cheng
Benjamin Caine
Chenxi Liu
Hang Zhao
...
Jiquan Ngiam
Vijay Vasudevan
Alexander McCauley
Jonathon Shlens
Drago Anguelov
149
532
0
20 Apr 2021
Explanations in Autonomous Driving: A Survey
Explanations in Autonomous Driving: A Survey
Daniel Omeiza
Helena Webb
Marina Jirotka
Lars Kunze
11
214
0
09 Mar 2021
Pseudo-labeling for Scalable 3D Object Detection
Pseudo-labeling for Scalable 3D Object Detection
Benjamin Caine
Rebecca Roelofs
Vijay Vasudevan
Jiquan Ngiam
Yuning Chai
Z. Chen
Jonathon Shlens
34
41
0
02 Mar 2021
Explainability of deep vision-based autonomous driving systems: Review
  and challenges
Explainability of deep vision-based autonomous driving systems: Review and challenges
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
37
169
0
13 Jan 2021
Multimodal Trajectory Prediction via Topological Invariance for
  Navigation at Uncontrolled Intersections
Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections
Junha Roh
Christoforos Mavrogiannis
Rishabh Madan
D. Fox
S. Srinivasa
16
29
0
08 Nov 2020
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
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