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Efficient Baselines for Motion Prediction in Autonomous Driving

Efficient Baselines for Motion Prediction in Autonomous Driving

6 September 2023
Carlos Gómez-Huélamo
Marcos V. Conde
R. Barea
Manuel Ocaña
L. Bergasa
ArXivPDFHTML

Papers citing "Efficient Baselines for Motion Prediction in Autonomous Driving"

19 / 19 papers shown
Title
Exploring Attention GAN for Vehicle Motion Prediction
Exploring Attention GAN for Vehicle Motion Prediction
Carlos Gómez-Huélamo
Marcos V. Conde
Miguel E. Ortiz
Santiago Montiel
R. Barea
L. Bergasa
58
10
0
26 Sep 2022
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving
R. Mahjourian
Jinkyu Kim
Yuning Chai
Mingxing Tan
Benjamin Sapp
Drago Anguelov
64
78
0
08 Mar 2022
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph
  Convolutional Neural Networks and Multi-Head Self-Attention
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention
Julian Schmidt
Julian Jordan
Franz Gritschneder
Klaus C. J. Dietmayer
40
47
0
09 Feb 2022
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for
  Behavior Prediction
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
Balakrishnan Varadarajan
Ahmed S. Hefny
A. Srivastava
Khaled S. Refaat
Nigamaa Nayakanti
...
K. Chen
B. Douillard
C. Lam
Drago Anguelov
Benjamin Sapp
77
313
0
29 Nov 2021
SafetyNet: Safe planning for real-world self-driving vehicles using
  machine-learned policies
SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies
Matt Vitelli
Yan-Xia Chang
Yawei Ye
Maciej Wołczyk
Bla.zej Osiñski
Moritz Niendorf
Hugo Grimmett
Qiangui Huang
Ashesh Jain
Peter Ondruska
42
80
0
28 Sep 2021
Multi-modal Motion Prediction with Transformer-based Neural Network for
  Autonomous Driving
Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving
Zhiyu Huang
Xiaoyu Mo
Chen Lv
115
113
0
14 Sep 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
176
553
0
20 Apr 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data
IntentNet: Learning to Predict Intention from Raw Sensor Data
Sergio Casas
Wenjie Luo
R. Urtasun
3DPC
219
366
0
20 Jan 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion
  Forecasting
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
Wenyuan Zeng
Ming Liang
Renjie Liao
R. Urtasun
GNN
52
177
0
17 Jan 2021
Trajectory Prediction using Equivariant Continuous Convolution
Trajectory Prediction using Equivariant Continuous Convolution
Robin Walters
Jinxi Li
Rose Yu
44
44
0
21 Oct 2020
What-If Motion Prediction for Autonomous Driving
What-If Motion Prediction for Autonomous Driving
Siddhesh Khandelwal
William Qi
Jagjeet Singh
Andrew Hartnett
Deva Ramanan
154
115
0
24 Aug 2020
TNT: Target-driveN Trajectory Prediction
TNT: Target-driveN Trajectory Prediction
Hang Zhao
Jiyang Gao
Tian-Shing Lan
Chen Sun
Benjamin Sapp
...
Yi Shen
Yuning Chai
Cordelia Schmid
Congcong Li
Dragomir Anguelov
78
542
0
19 Aug 2020
Learning Lane Graph Representations for Motion Forecasting
Learning Lane Graph Representations for Motion Forecasting
Ming Liang
Binh Yang
Rui Hu
Yun Chen
Renjie Liao
Song Feng
R. Urtasun
59
560
0
27 Jul 2020
One Thousand and One Hours: Self-driving Motion Prediction Dataset
One Thousand and One Hours: Self-driving Motion Prediction Dataset
J. Houston
G. Zuidhof
Luca Bergamini
Yawei Ye
Long Chen
Ashesh Jain
Sammy Omari
V. Iglovikov
Peter Ondruska
73
363
0
25 Jun 2020
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
79
2,851
0
10 Dec 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
119
1,289
0
06 Nov 2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for
  Behavior Prediction
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Yuning Chai
Benjamin Sapp
Mayank Bansal
Dragomir Anguelov
83
659
0
12 Oct 2019
Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting
Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting
Jean Pierre Mercat
Thomas Gilles
N. Zoghby
G. Sandou
D. Beauvois
Guillermo Pita Gil
41
169
0
08 Oct 2019
nuScenes: A multimodal dataset for autonomous driving
nuScenes: A multimodal dataset for autonomous driving
Holger Caesar
Varun Bankiti
Alex H. Lang
Sourabh Vora
Venice Erin Liong
Qiang Xu
Anush Krishnan
Yuxin Pan
G. Baldan
Oscar Beijbom
3DPC
253
5,653
0
26 Mar 2019
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