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2205.04624
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KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction
10 May 2022
Qiujing Lu
Weiqiao Han
Jeffrey Ling
Minfa Wang
Haoyu Chen
Balakrishnan Varadarajan
Paul Covington
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Papers citing
"KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction"
31 / 31 papers shown
Title
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
207
6
0
18 Mar 2024
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
122
317
0
29 Nov 2021
DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets
Junru Gu
Chen Sun
Hang Zhao
155
420
0
22 Aug 2021
Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments
A. Jasour
Weiqiao Han
B. Williams
118
17
0
10 Jun 2021
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
192
561
0
20 Apr 2021
Learning to Predict Vehicle Trajectories with Model-based Planning
Haoran Song
Di Luan
Wenchao Ding
M. Y. Wang
Qifeng Chen
58
121
0
06 Mar 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data
Sergio Casas
Wenjie Luo
R. Urtasun
3DPC
234
368
0
20 Jan 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
Wenyuan Zeng
Ming Liang
Renjie Liao
R. Urtasun
GNN
90
183
0
17 Jan 2021
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
102
557
0
19 Aug 2020
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures
Allen Wang
Xin Huang
A. Jasour
B. Williams
57
32
0
27 May 2020
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
Jiyang Gao
Chen Sun
Hang Zhao
Yi Shen
Dragomir Anguelov
Congcong Li
Cordelia Schmid
126
814
0
08 May 2020
It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction
K. Mangalam
Harshayu Girase
Shreya Agarwal
Kuan-Hui Lee
Ehsan Adeli
Jitendra Malik
Adrien Gaidon
3DPC
75
443
0
04 Apr 2020
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
137
2,885
0
10 Dec 2019
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
149
1,294
0
06 Nov 2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Yuning Chai
Benjamin Sapp
Mayank Bansal
Dragomir Anguelov
100
667
0
12 Oct 2019
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
Suraj Nair
Chelsea Finn
VGen
78
138
0
12 Sep 2019
Diverse Trajectory Forecasting with Determinantal Point Processes
Ye Yuan
Kris Kitani
41
134
0
11 Jul 2019
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions
Joey Hong
Benjamin Sapp
James Philbin
88
248
0
21 Jun 2019
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets
Fang-Chieh Chou
Tsung-Han Lin
Henggang Cui
Vladan Radosavljevic
Thi Nguyen
Tzu-Kuo Huang
Matthew Niedoba
J. Schneider
Nemanja Djuric
30
58
0
20 Jun 2019
Learning Robotic Manipulation through Visual Planning and Acting
Angelina Wang
Thanard Kurutach
Kara Liu
Pieter Abbeel
Aviv Tamar
53
116
0
11 May 2019
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
Nicholas Rhinehart
R. McAllister
Kris Kitani
Sergey Levine
63
373
0
03 May 2019
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
Mayank Bansal
A. Krizhevsky
A. Ogale
OOD
86
739
0
07 Dec 2018
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
Henggang Cui
Vladan Radosavljevic
Fang-Chieh Chou
Tsung-Han Lin
Thi Nguyen
Tzu-Kuo Huang
J. Schneider
Nemanja Djuric
61
613
0
18 Sep 2018
Learning Plannable Representations with Causal InfoGAN
Thanard Kurutach
Aviv Tamar
Ge Yang
Stuart J. Russell
Pieter Abbeel
GAN
DRL
71
180
0
24 Jul 2018
Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
OffRL
99
808
0
21 May 2018
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Agrim Gupta
Justin Johnson
Li Fei-Fei
Silvio Savarese
Alexandre Alahi
GAN
166
1,916
0
29 Mar 2018
How would surround vehicles move? A Unified Framework for Maneuver Classification and Motion Prediction
Nachiket Deo
Akshay Rangesh
Mohan M. Trivedi
49
284
0
19 Jan 2018
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. Qi
L. Yi
Hao Su
Leonidas Guibas
3DPC
3DV
351
11,113
0
07 Jun 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit
N. Jouppi
C. Young
Nishant Patil
David Patterson
Gaurav Agrawal
...
Vijay Vasudevan
Richard Walter
Walter Wang
Eric Wilcox
Doe Hyun Yoon
235
4,635
0
16 Apr 2017
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
Namhoon Lee
Wongun Choi
Paul Vernaza
Chris Choy
Philip Torr
Manmohan Chandraker
AI4TS
91
995
0
14 Apr 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
484
14,320
0
02 Dec 2016
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