Georg Adrian Novotny

Georg Adrian Novotny

Georg Novotny is a part-time lecturer at UAS Technikum Vienna, where he teaches mobile robotics and is actively involved in the development of search and rescue robots. Alongside his work at UAS, he works as a platform engineer at MIC-Cust. Georg is also currently pursuing his PhD at JKU, where he is focused on system identification and parameter estimation of vehicles and robots. With his expertise in robotics and engineering, Georg is dedicated to advancing the field of autonomous systems and developing cutting-edge technologies that improve our lives.

Study of ROS-Based Autonomous Vehicles in Snow-Covered Roads by Means of Behavioral Cloning Using 3DCoAutoSim

Published in Information Systems and Technologies, 2022

Abstract: Autonomous driving in winter weather conditions has always been a unique challenge, and as such it is an interesting research topic. Due to reasons related to safety and local laws, simulators have become one of the first choice for the required research. This paper extends the capabilities of the 3DCoAutoSim simulation platform with a realistic simulation environment for the study of autonomous driving with ROS-controlled vehicles in adverse weather conditions such as snow-covered roads. The weather-related details of the environment such as snow fall and car tracks on the snow were implemented by using Unity3D’s physics and graphics engine. A series of autonomous driving experiments based on behavioral cloning were performed to test the performance of the environment and its scalability for ROS-based machine learning applications. Results from the experiments conducted to validate the approach demonstrated a good driving performance. Moreover, results from the model trained with the data set generated in the snowy environment, showed that car tracks features in the snow promoted the learning and generalization steps in the machine learning process.

Access paper here or get the pdf here

Bibtex: download

@inproceedings{Liu2022,
  author    = {Yuzhou Liu and Walter Morales-Alvarez and Georg Novotny and Cristina Olaverri-Monreal},
  city      = {Cham},
  doi       = {10.1007/978-3-031-04829-6_19},
  editor    = {Alvaro Rocha and Hojjat Adeli and Gintautas Dzemyda and Fernando Moreira},
  isbn      = {978-3-031-04829-6},
  journal   = {Information Systems and Technologies},
  pages     = {211-221},
  publisher = {Springer International Publishing},
  title     = {Study of ROS-Based Autonomous Vehicles in Snow-Covered Roads by Means of Behavioral Cloning Using 3DCoAutoSim},
  year      = {2022}
}

Recommended citation: Liu, Y., Morales-Alvarez, W., Novotny, G., & Olaverri-Monreal, C. (2022). Study of ROS-Based Autonomous Vehicles in Snow-Covered Roads by Means of Behavioral Cloning Using 3DCoAutoSim. In A. Rocha, H. Adeli, G. Dzemyda, & F. Moreira (Eds.), Information Systems and Technologies (pp. 211–221). Springer International Publishing. https://doi.org/10.1007/978-3-031-04829-6_19