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. 1811.05432
  4. Cited By
Deep Object-Centric Policies for Autonomous Driving

Deep Object-Centric Policies for Autonomous Driving

13 November 2018
Dequan Wang
Coline Devin
Qi-Zhi Cai
Feng Yu
Trevor Darrell
    OCL
ArXivPDFHTML

Papers citing "Deep Object-Centric Policies for Autonomous Driving"

24 / 24 papers shown
Title
Diffusion-SAFE: Shared Autonomy Framework with Diffusion for Safe Human-to-Robot Driving Handover
Yunxin Fan
Monroe Kennedy III
28
0
0
15 May 2025
SPOT: SE(3) Pose Trajectory Diffusion for Object-Centric Manipulation
SPOT: SE(3) Pose Trajectory Diffusion for Object-Centric Manipulation
Cheng-Chun Hsu
Bowen Wen
Jie Xu
Yashraj S. Narang
Xiaolong Wang
Yuke Zhu
Joydeep Biswas
Stan Birchfield
DiffM
43
8
0
01 Nov 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
72
6
0
18 Mar 2024
Generalizable Imitation Learning Through Pre-Trained Representations
Generalizable Imitation Learning Through Pre-Trained Representations
Wei-Di Chang
F. Hogan
David Meger
Gregory Dudek
Gregory Dudek
46
1
0
15 Nov 2023
Learning Generalizable Manipulation Policies with Object-Centric 3D
  Representations
Learning Generalizable Manipulation Policies with Object-Centric 3D Representations
Yifeng Zhu
Zhenyu Jiang
Peter Stone
Yuke Zhu
3DPC
29
45
0
22 Oct 2023
Learning Road Scene-level Representations via Semantic Region Prediction
Learning Road Scene-level Representations via Semantic Region Prediction
Zihao Xiao
Alan Yuille
Yi-Ting Chen
29
2
0
02 Jan 2023
PlanT: Explainable Planning Transformers via Object-Level
  Representations
PlanT: Explainable Planning Transformers via Object-Level Representations
Katrin Renz
Kashyap Chitta
Otniel-Bogdan Mercea
A. Sophia Koepke
Zeynep Akata
Andreas Geiger
ViT
38
94
0
25 Oct 2022
DRAMA: Joint Risk Localization and Captioning in Driving
DRAMA: Joint Risk Localization and Captioning in Driving
Srikanth Malla
Chiho Choi
Isht Dwivedi
Joonhyang Choi
Jiachen Li
107
87
0
22 Sep 2022
Learning by Watching
Learning by Watching
Jimuyang Zhang
Eshed Ohn-Bar
EgoV
41
33
0
10 Jun 2021
Contrastive Domain Adaptation
Contrastive Domain Adaptation
Mamatha Thota
Georgios Leontidis
SSL
32
59
0
26 Mar 2021
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving
  via Virtual Safety Cages
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages
Sampo Kuutti
Richard Bowden
Saber Fallah
40
14
0
17 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
48
170
0
13 Jan 2021
Computer Stereo Vision for Autonomous Driving
Computer Stereo Vision for Autonomous Driving
Rui Fan
Li Wang
M. J. Bocus
Ioannis Pitas
3DV
44
33
0
06 Dec 2020
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and
  Sequence-based Place Recognition
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition
Marvin Chancán
Michael Milford
ViT
29
17
0
17 Nov 2020
Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end
  Autonomous Driving with Scene Understanding
Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding
Zhiyu Huang
Chen Lv
Yang Xing
Jingda Wu
14
128
0
19 May 2020
Understanding Dynamic Scenes using Graph Convolution Networks
Understanding Dynamic Scenes using Graph Convolution Networks
Sravan Mylavarapu
Mahtab Sandhu
Priyesh Vijayan
K. M. Krishna
Balaraman Ravindran
A. Namboodiri
19
30
0
09 May 2020
Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Jinkyu Kim
Mayank Bansal
27
13
0
08 May 2020
Explainable Object-induced Action Decision for Autonomous Vehicles
Explainable Object-induced Action Decision for Autonomous Vehicles
Yiran Xu
Xiaoyin Yang
Lihang Gong
Hsuan-Chu Lin
Tz-Ying Wu
Yunsheng Li
Nuno Vasconcelos
30
104
0
20 Mar 2020
On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep
  Neural Networks
On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep Neural Networks
Alice Plebe
M. Lio
17
2
0
09 Mar 2020
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk
  Object Identification via Causal Inference
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference
Chengxi Li
Stanley H. Chan
Yi-Ting Chen
CML
80
51
0
05 Mar 2020
A Survey of Deep Learning Applications to Autonomous Vehicle Control
A Survey of Deep Learning Applications to Autonomous Vehicle Control
Sampo Kuutti
Richard Bowden
Yaochu Jin
P. Barber
Saber Fallah
36
506
0
23 Dec 2019
Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep
  Reinforcement Learning
Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning
Juil Sock
Guillermo Garcia-Hernando
Tae-Kyun Kim
35
11
0
19 Oct 2019
Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph
  Convolutional Networks
Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks
Chengxi Li
Yue Meng
Stanley H. Chan
Yi-Ting Chen
GNN
16
61
0
20 Sep 2019
Periphery-Fovea Multi-Resolution Driving Model guided by Human Attention
Periphery-Fovea Multi-Resolution Driving Model guided by Human Attention
Ye Xia
Jinkyu Kim
John F. Canny
K. Zipser
D. Whitney
24
51
0
24 Mar 2019
1