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. 2409.12716
  4. Cited By
Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular
  Extracted Modalities for Better Steering

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
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
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