ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2407.03122
  4. Cited By
IntentionNet: Map-Lite Visual Navigation at the Kilometre Scale

IntentionNet: Map-Lite Visual Navigation at the Kilometre Scale

3 July 2024
Wei Gao
Bo Ai
Joel Loo
Vinay
David Hsu
ArXiv (abs)PDFHTML

Papers citing "IntentionNet: Map-Lite Visual Navigation at the Kilometre Scale"

28 / 28 papers shown
Title
Efficient and Robust LiDAR-Based End-to-End Navigation
Efficient and Robust LiDAR-Based End-to-End Navigation
Zhijian Liu
Alexander Amini
Sibo Zhu
S. Karaman
Song Han
Daniela Rus
237
48
0
20 May 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models
Rapid Exploration for Open-World Navigation with Latent Goal Models
Dhruv Shah
Benjamin Eysenbach
G. Kahn
Nicholas Rhinehart
Sergey Levine
72
74
0
12 Apr 2021
ViNG: Learning Open-World Navigation with Visual Goals
ViNG: Learning Open-World Navigation with Visual Goals
Dhruv Shah
Benjamin Eysenbach
G. Kahn
Nicholas Rhinehart
Sergey Levine
70
94
0
17 Dec 2020
Motion Planning and Control for Mobile Robot Navigation Using Machine
  Learning: a Survey
Motion Planning and Control for Mobile Robot Navigation Using Machine Learning: a Survey
Xuesu Xiao
Bo Liu
Garrett A. Warnell
Peter Stone
53
193
0
26 Nov 2020
Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight
  in Complex Environments
Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments
Fei Gao
Luqi Wang
Boyu Zhou
Xin Zhou
Jie Pan
Shaojie Shen
58
138
0
01 Jul 2019
Differentiable Algorithm Networks for Composable Robot Learning
Differentiable Algorithm Networks for Composable Robot Learning
Peter Karkus
Xiao Ma
David Hsu
L. Kaelbling
Wee Sun Lee
Tomas Lozano-Perez
52
71
0
28 May 2019
Long-Range Indoor Navigation with PRM-RL
Long-Range Indoor Navigation with PRM-RL
Anthony G. Francis
Aleksandra Faust
H. Chiang
Jasmine Hsu
J. Kew
Marek Fiser
T. Lee
57
142
0
25 Feb 2019
Learning Navigation Behaviors End-to-End with AutoRL
Learning Navigation Behaviors End-to-End with AutoRL
H. Chiang
Aleksandra Faust
Marek Fiser
Anthony G. Francis
121
235
0
26 Sep 2018
Learning to Drive in a Day
Learning to Drive in a Day
Alex Kendall
Jeffrey Hawke
David Janz
Przemyslaw Mazur
Daniele Reda
John M. Allen
Vinh-Dieu Lam
Alex Bewley
Amar Shah
100
657
0
01 Jul 2018
Deep Drone Racing: Learning Agile Flight in Dynamic Environments
Deep Drone Racing: Learning Agile Flight in Dynamic Environments
Elia Kaufmann
Antonio Loquercio
René Ranftl
Alexey Dosovitskiy
V. Koltun
Davide Scaramuzza
61
135
0
22 Jun 2018
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for
  Map-less Navigation by Leveraging Prior Demonstrations
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations
Mark Pfeiffer
Samarth Shukla
M. Turchetta
Cesar Cadena
Andreas Krause
Roland Siegwart
Juan I. Nieto
61
158
0
18 May 2018
Group Normalization
Group Normalization
Yuxin Wu
Kaiming He
231
3,660
0
22 Mar 2018
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in
  Video Classification
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
Saining Xie
Chen Sun
Jonathan Huang
Zhuowen Tu
Kevin Patrick Murphy
3DH
142
1,330
0
13 Dec 2017
End-to-end Driving via Conditional Imitation Learning
End-to-end Driving via Conditional Imitation Learning
Felipe Codevilla
Matthias Muller
Antonio M. López
V. Koltun
Alexey Dosovitskiy
131
1,066
0
06 Oct 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal
Piotr Dollár
Ross B. Girshick
P. Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
3DH
128
3,681
0
08 Jun 2017
Deep Reinforcement Learning framework for Autonomous Driving
Deep Reinforcement Learning framework for Autonomous Driving
Ahmad El-Sallab
Mohammed Abdou
E. Perot
S. Yogamani
89
970
0
08 Apr 2017
Cognitive Mapping and Planning for Visual Navigation
Cognitive Mapping and Planning for Visual Navigation
Saurabh Gupta
Varun Tolani
James Davidson
Sergey Levine
Rahul Sukthankar
Jitendra Malik
89
714
0
13 Feb 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
477
22,108
0
09 Dec 2016
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Shai Shalev-Shwartz
Shaked Shammah
Amnon Shashua
108
836
0
11 Oct 2016
From Perception to Decision: A Data-driven Approach to End-to-end Motion
  Planning for Autonomous Ground Robots
From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robots
Mark Pfeiffer
Michaela Schaeuble
Juan I. Nieto
Roland Siegwart
Cesar Cadena
75
382
0
26 Sep 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
413
10,494
0
21 Jul 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,862
0
20 May 2016
End to End Learning for Self-Driving Cars
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
100
4,170
0
25 Apr 2016
Recurrent Dropout without Memory Loss
Recurrent Dropout without Memory Loss
Stanislau Semeniuta
Aliaksei Severyn
Erhardt Barth
66
222
0
16 Mar 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural
  Networks
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Y. Gal
Zoubin Ghahramani
UQCVDRLBDL
187
1,650
0
16 Dec 2015
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
566
7,992
0
13 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,196
0
18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
1