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IntentNet: Learning to Predict Intention from Raw Sensor Data

IntentNet: Learning to Predict Intention from Raw Sensor Data

20 January 2021
Sergio Casas
Wenjie Luo
R. Urtasun
    3DPC
ArXivPDFHTML

Papers citing "IntentNet: Learning to Predict Intention from Raw Sensor Data"

26 / 76 papers shown
Title
Deep Multi-Task Learning for Joint Localization, Perception, and
  Prediction
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
John Phillips
Julieta Martinez
Ioan Andrei Bârsan
Sergio Casas
Abbas Sadat
R. Urtasun
27
36
0
17 Jan 2021
End-to-end Interpretable Neural Motion Planner
End-to-end Interpretable Neural Motion Planner
Wenyuan Zeng
Wenjie Luo
Simon Suo
Abbas Sadat
Binh Yang
Sergio Casas
R. Urtasun
3DV
20
399
0
17 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
28
176
0
17 Jan 2021
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
Alexander Cui
Sergio Casas
Abbas Sadat
Renjie Liao
R. Urtasun
111
126
0
16 Jan 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Sourav Garg
Niko Sünderhauf
Feras Dayoub
D. Morrison
Akansel Cosgun
...
Tat-Jun Chin
Ian Reid
Stephen Gould
Peter Corke
Michael Milford
22
115
0
02 Jan 2021
Convolutional Recurrent Network for Road Boundary Extraction
Convolutional Recurrent Network for Road Boundary Extraction
Justin Liang
N. Homayounfar
Wei-Chiu Ma
Shenlong Wang
R. Urtasun
119
73
0
21 Dec 2020
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Ming Liang
Binh Yang
Shenlong Wang
R. Urtasun
3DPC
187
840
0
20 Dec 2020
Multi-Modal Hybrid Architecture for Pedestrian Action Prediction
Multi-Modal Hybrid Architecture for Pedestrian Action Prediction
Amir Rasouli
Tiffany Yau
Mohsen Rohani
Jun-Jie Luo
31
43
0
16 Nov 2020
Motion Prediction on Self-driving Cars: A Review
Motion Prediction on Self-driving Cars: A Review
Shahrokh Paravarzar
Belqes Mohammad
13
12
0
06 Nov 2020
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar
  Fusion
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion
Meet Shah
Zhi-ling Huang
A. Laddha
Matthew Langford
B. Barber
Sidney Zhang
Carlos Vallespi-Gonzalez
R. Urtasun
19
36
0
02 Oct 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
34
533
0
19 Aug 2020
End-to-end Contextual Perception and Prediction with Interaction
  Transformer
End-to-end Contextual Perception and Prediction with Interaction Transformer
Lingyun Luke Li
Binh Yang
Ming Liang
Wenyuan Zeng
Mengye Ren
Sean Segal
R. Urtasun
ViT
26
117
0
13 Aug 2020
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds
Rui Huang
Wanyue Zhang
Abhijit Kundu
C. Pantofaru
David A. Ross
Thomas Funkhouser
Alireza Fathi
3DPC
19
81
0
24 Jul 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Sergio Casas
Cole Gulino
Simon Suo
Katie Z Luo
Renjie Liao
R. Urtasun
152
155
0
23 Jul 2020
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and
  Trajectory Prediction
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction
Zhishuai Zhang
Jiyang Gao
Junhua Mao
Yukai Liu
Dragomir Anguelov
Congcong Li
3DPC
3DH
27
59
0
08 May 2020
Collaborative Motion Prediction via Neural Motion Message Passing
Collaborative Motion Prediction via Neural Motion Message Passing
Yue Hu
Siheng Chen
Ya-Qin Zhang
Xiao Gu
19
103
0
14 Mar 2020
A Survey of End-to-End Driving: Architectures and Training Methods
A Survey of End-to-End Driving: Architectures and Training Methods
Ardi Tampuu
Maksym Semikin
Naveed Muhammad
D. Fishman
Tambet Matiisen
3DV
18
228
0
13 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
130
119
0
06 Mar 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
13
148
0
03 Jan 2020
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving
  Applications: A Review
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review
Sajjad Mozaffari
Omar Y. Al-Jarrah
M. Dianati
P. Jennings
A. Mouzakitis
16
135
0
25 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
25
378
0
23 Nov 2019
Multiple Futures Prediction
Multiple Futures Prediction
Yichuan Tang
Ruslan Salakhutdinov
19
346
0
04 Nov 2019
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction
Ajay Jain
Sergio Casas
Renjie Liao
Yuwen Xiong
Song Feng
Sean Segal
R. Urtasun
140
73
0
17 Oct 2019
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
Xinshuo Weng
Jianren Wang
David Held
Kris M. Kitani
VOT
3DPC
13
122
0
09 Jul 2019
Predicting Motion of Vulnerable Road Users using High-Definition Maps
  and Efficient ConvNets
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
8
58
0
20 Jun 2019
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient
  Convolutional Neural Networks
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
Martin Engelcke
Dushyant Rao
Dominic Zeng Wang
Chi Hay Tong
Ingmar Posner
3DPC
192
521
0
21 Sep 2016
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