Alexander Domahidi — accepted AI-conference papers

2021

Design, Optimal Guidance and Control of a Low-cost Re-usable Electric Model Rocket

Lukas Spannagl, Elias Hampp, Andrea Carron, Jerome Sieber, Carlo Alberto Pascucci, Aldo U. Zgraggen +2

IROS 2021poster

In the last decade, autonomous vertical take-off and landing (VTOL) vehicles have become increasingly important as they lower mission costs thanks to their re-usability. However, their development is complex, rendering even the basic experimental validation of the required advanced guidance and cont…

Cited by 18 Source ↗Scholar ↗

2021

Interaction-Aware Motion Prediction for Autonomous Driving: A Multiple Model Kalman Filtering Scheme

Vasileios Lefkopoulos, Marcel Menner, Alexander Domahidi, Melanie N. Zeilinger

RA-L 2021

We consider the problem of predicting the motion of vehicles in the surrounding of an autonomous car, for improved motion planning in lane-based driving scenarios without inter-vehicle communication. First, we address the problem of single-vehicle estimation by designing a filtering scheme based on

Cited by 139 Source ↗Scholar ↗

2017

Real-Time Motion Planning for Aerial Videography With Real-Time With Dynamic Obstacle Avoidance and Viewpoint Optimization

Tobias Nägeli, Javier Alonso-Mora, Alexander Domahidi, Daniela Rus, Otmar Hilliges

RA-L 2017

We propose a method for real-time trajectory generation with applications in aerial videography. Taking framing objectives, such as position of targets in the image plane, as input, our method solves for robot trajectories and gimbal controls automatically and adapts plans in real time due to change

Cited by 83 Source ↗Scholar ↗