Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2409.12716
Cited By
Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering
18 September 2024
Fouad Makiyeh
Mark Bastourous
Anass Bairouk
Wei Xiao
Mirjana Maras
Tsun-Hsuan Wangb
Marc Blanchon
Ramin Hasani
Patrick Chareyre
Daniela Rus
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering"
10 / 10 papers shown
Title
Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder
Anass Bairouk
Mirjana Maras
Simon Herlin
Alexander Amini
Marc Blanchon
Ramin Hasani
Patrick Chareyre
Daniela Rus
46
4
0
02 Apr 2024
Computing Systems for Autonomous Driving: State-of-the-Art and Challenges
Liangkai Liu
Sidi Lu
Ren Zhong
Baofu Wu
Yongtao Yao
Qingyan Zhang
Weisong Shi
61
274
0
30 Sep 2020
A Survey of End-to-End Driving: Architectures and Training Methods
Ardi Tampuu
Maksym Semikin
Naveed Muhammad
D. Fishman
Tambet Matiisen
3DV
57
234
0
13 Mar 2020
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
René Ranftl
Katrin Lasinger
David Hafner
Konrad Schindler
V. Koltun
MDE
188
1,786
0
02 Jul 2019
Multimodal End-to-End Autonomous Driving
Yi Xiao
Felipe Codevilla
A. Gurram
O. Urfalioglu
Antonio M. López
40
243
0
07 Jun 2019
ACNet: Attention Based Network to Exploit Complementary Features for RGBD Semantic Segmentation
Xinxin Hu
Kailun Yang
Lei Fei
Kaiwei Wang
3DPC
102
353
0
24 May 2019
Exploring the Limitations of Behavior Cloning for Autonomous Driving
Felipe Codevilla
Eder Santana
Antonio M. López
Adrien Gaidon
46
542
0
18 Apr 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Di Feng
Christian Haase-Schuetz
Lars Rosenbaum
Heinz Hertlein
Claudius Gläser
Fabian Duffhauss
W. Wiesbeck
Klaus C. J. Dietmayer
3DPC
94
1,004
0
21 Feb 2019
End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies
Hesham M. Eraqi
Mohamed Moustafa
J. Honer
LLMSV
46
117
0
10 Oct 2017
End-to-end Learning of Driving Models from Large-scale Video Datasets
Huazhe Xu
Yang Gao
Feng Yu
Trevor Darrell
118
824
0
04 Dec 2016
1