output
20132026
most citedCNN-based Lidar Point Cloud De-Noising in Adverse Weather

218 citations

Showing 2021Show all

9 papers · 1 filter

physics.chem-ph2021★ 31 cited

A four parameter model for the solid-electrolyte interphase to predict battery aging during operation

Lars von Kolzenberg, Jochen Stadler, Johannes Fath +3

Accurately predicting aging of lithium-ion batteries would help to prolong their lifespan, but remains a challenge owing to the complexity and interrelation of different aging mech…

cs.CV2021

Quantifying point cloud realism through adversarially learned latent representations

Larissa T. Triess, David Peter, Stefan A. Baur +1

Judging the quality of samples synthesized by generative models can be tedious and time consuming, especially for complex data structures, such as point clouds. This paper presents…

cs.CY2021★ 3 cited

The Atlas of Lane Changes: Investigating Location-dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet

Florian Wirthmüller, Jochen Hipp, Christian Reichenbächer +1

The prediction of surrounding traffic participants behavior is a crucial and challenging task for driver assistance and autonomous driving systems. Today's approaches mainly focus…

cs.CV2021★ 58 cited

A Survey on Deep Domain Adaptation for LiDAR Perception

Larissa T. Triess, Mariella Dreissig, Christoph B. Rist +1

Scalable systems for automated driving have to reliably cope with an open-world setting. This means, the perception systems are exposed to drastic domain shifts, like changes in we…

eess.SP2021★ 16 cited

Compact Uniform Circular Quarter-Wavelength Monopole Antenna Arrays with Wideband Decoupling and Matching Networks

Jonas Kornprobst, Thomas J. Mittermaier, Raimund A. M. Mauermayer +7

Two novel decoupling and matching networks (DMNs) in microstrip technology for three-element uniform circular arrays (UCAs) are investigated and compared to a more conventional DMN…

cs.CL2021★ 42 cited

Natural Language Understanding for Argumentative Dialogue Systems in the Opinion Building Domain

Waheed Ahmed Abro, Annalena Aicher, Niklas Rach +3

This paper introduces a natural language understanding (NLU) framework for argumentative dialogue systems in the information-seeking and opinion building domain. The proposed frame…

cs.CV2021

Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues

Frank Julca-Aguilar, Jason Taylor, Mario Bijelic +3

Today's state-of-the-art methods for 3D object detection are based on lidar, stereo, or monocular cameras. Lidar-based methods achieve the best accuracy, but have a large footprint…

cs.LG2021★ 37 cited

Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks

Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen +2

To plan safe and comfortable trajectories for automated vehicles on highways, accurate predictions of traffic situations are needed. So far, a lot of research effort has been spent…

cs.CV2021★ 11 cited

Exploitation of Image Statistics with Sparse Coding in the Case of Stereo Vision

Gerrit A. Ecke, Harald M. Papp, Hanspeter A. Mallot

The sparse coding algorithm has served as a model for early processing in mammalian vision. It has been assumed that the brain uses sparse coding to exploit statistical properties…