4 citations · 4 across the 4 of their papers we have counts for
4 papers
Continuous locomotion mode recognition and gait phase estimation based on a shank-mounted IMU with artificial neural networks
Florian Weigand, Andreas Höhl, Julian Zeiss +2
To improve the control of wearable robotics for gait assistance, we present an approach for continuous locomotion mode recognition as well as gait phase and stair slope estimation…
Toward Unsupervised Test Scenario Extraction for Automated Driving Systems from Urban Naturalistic Road Traffic Data
Nico Weber, Christoph Thiem, Ulrich Konigorski
Scenario-based testing is a promising approach to solve the challenge of proving the safe behavior of vehicles equipped with automated driving systems. Since an infinite number of…
A Needle in a Haystack -- How to Derive Relevant Scenarios for Testing Automated Driving Systems in Urban Areas
Nico Weber, Christoph Thiem, Ulrich Konigorski
While there was great progress regarding the technology and its implementation for vehicles equipped with automated driving systems (ADS), the problem of how to proof their safety…
Prediction of Highway Lane Changes Based on Prototype Trajectories
David Augustin, Marius Hofmann, Ulrich Konigorski
The vision of automated driving is to increase both road safety and efficiency, while offering passengers a convenient travel experience. This requires that autonomous systems corr…