Search
Publication Authors

Prof. Dr. Didier Stricker

Dr. Alain Pagani

Dr. Gerd Reis

Eric Thil

Keonna Cunningham

Dr. Oliver Wasenmüller

Dr. Muhammad Zeshan Afzal

Dr. Gabriele Bleser

Dr. Muhammad Jameel Nawaz Malik
Dr. Bruno Mirbach

Dr. Jason Raphael Rambach

Dr. Nadia Robertini

Dr. René Schuster

Dr. Bertram Taetz

Ahmed Aboukhadra

Sk Aziz Ali

Mhd Rashed Al Koutayni

Yuriy Anisimov

Jilliam Maria Diaz Barros

Ramy Battrawy
Hammad Butt

Mahdi Chamseddine

Steve Dias da Cruz
Fangwen Shu

Torben Fetzer

Ahmet Firintepe

Sophie Folawiyo

David Michael Fürst
Anshu Garg

Christiano Couto Gava
Suresh Guttikonda

Tewodros Amberbir Habtegebrial

Simon Häring

Khurram Azeem Hashmi
Henri Hoyez

Alireza Javanmardi

Jigyasa Singh Katrolia

Andreas Kölsch
Ganesh Shrinivas Koparde
Onorina Kovalenko

Stephan Krauß
Paul Lesur

Michael Lorenz

Dr. Markus Miezal

Mina Ameli

Nareg Minaskan Karabid

Mohammad Minouei

Pramod Murthy

Mathias Musahl

Peter Neigel

Manthan Pancholi

Mariia Podguzova

Praveen Nathan
Qinzhuan Qian
Rishav
Marcel Rogge
María Alejandra Sánchez Marín
Dr. Kripasindhu Sarkar

Alexander Schäfer

Pascal Schneider

Mohamed Selim

Tahira Shehzadi
Lukas Stefan Staecker

Yongzhi Su

Xiaoying Tan
Christian Witte

Yaxu Xie

Vemburaj Yadav

Dr. Vladislav Golyanik

Dr. Aditya Tewari

André Luiz Brandão
Publication Archive
New title
- ActivityPlus
- AlterEgo
- AR-Handbook
- ARVIDA
- Auroras
- AVILUSplus
- Be-greifen
- Body Analyzer
- CAPTURE
- Co2Team
- COGNITO
- DAKARA
- Density
- DYNAMICS
- EASY-IMP
- ENNOS
- Eyes Of Things
- iACT
- IMCVO
- IVMT
- LARA
- LiSA
- Marmorbild
- Micro-Dress
- Odysseus Studio
- On Eye
- OrcaM
- PAMAP
- PROWILAN
- ServiceFactory
- STREET3D
- SUDPLAN
- SwarmTrack
- TuBUs-Pro
- VIDETE
- VIDP
- VisIMon
- VISTRA
- VIZTA
- You in 3D
EvLiDAR-Flow: Attention-Guided Fusion between Point Clouds and Events for Scene Flow Estimation
EvLiDAR-Flow: Attention-Guided Fusion between Point Clouds and Events for Scene Flow Estimation
Ankit Sonthalia, Ramy Battrawy, René Schuster, Didier Stricker
International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2023), February 22-24, Lissabon, Portugal, Scitepress, 2023.
- Abstract:
- In this paper, we propose the fusion of event streams and point clouds for scene flow estimation. Bio-inspired event cameras offer significantly lower latency and higher dynamic ranges than regular RGB cameras, and are therefore appropriate for recording high-speed motions. However, events do not provide depth information, which makes them unsuitable for scene flow (3D) estimation. On the other hand, LiDAR-based approaches are well suited to scene flow estimation due to the high precision of LiDAR measurements for outdoor scenes (e.g. autonomous vehicle applications) but they fail in the presence of unstructured regions (e.g. ground surface, grass, walls, etc.). We propose our EvLiDAR-Flow, a neural network architecture equipped with an attention module for bi-directional feature fusion between an event (2D) branch and a point cloud (3D) branch. This kind of fusion helps to overcome the lack of depth information in events while enabling the LiDAR-based scene flow branch to benefit from the rich motion information encoded by events. We validate the proposed EvLiDAR-Flow by showing that it performs significantly better and is robust to the presence of ground points, in comparison to a state-of-the-art LiDAR-only scene flow estimation method.