activity
20192022
most citedContext-Aware Scene Prediction Network (CASPNet)

2 citations · 2 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CV20222 cited

Context-Aware Scene Prediction Network (CASPNet)

Maximilian Schäfer, Kun Zhao, Markus Bühren +1

Predicting the future motion of surrounding road users is a crucial and challenging task for autonomous driving (AD) and various advanced driver-assistance systems (ADAS). Planning…

cs.ET2021

Channel Responses for the Molecule Release from Spherical Homogeneous Matrix Carriers

Maximilian Schäfer, Yolanda Salinas, Alexander Ruderer +6

Molecular communications is a promising framework for the design of controlled-release drug delivery systems. Under this framework, drug carriers, diseased cells, and the channel a…

cs.ET2021

Channel Modeling for Drug Carrier Matrices

Maximilian Schäfer, Yolanda Salinas, Alexander Ruderer +4

Molecular communications is a promising framework for the design of controlled-release drug delivery systems. In this framework, drug carriers are modeled as transmitters, the dise…

cs.ET2020

Receptor Saturation Modeling for Synaptic DMC

Sebastian Lotter, Maximilian Schäfer, Johannes Zeitler +1

Synaptic communication is a natural Molecular Communication (MC) system which may serve as a blueprint for the design of synthetic MC systems. In particular, it features highly spe…

cs.ET2020

Transfer Function Models for Cylindrical MC Channels with Diffusion and Laminar Flow

Maximilian Schäfer, Wayan Wicke, Lukas Brand +2

The analysis and design of advection-diffusion based molecular communication (MC) systems in cylindrical environments is of particular interest for applications such as micro-fluid…

cs.ET2019

Spherical Diffusion Model with Semi-Permeable Boundary: A Transfer Function Approach

Maximilian Schäfer, Wayan Wicke, Werner Haselmayr +2

The derivation of suitable analytical models is an important step for the design and analysis of molecular communication systems. However, many existing models have limited applica…