OpenDLV—A modular and scalable software framework for autonomous systems and robots

Publications

[1]: Yushu Yu, Dan Shan, Ola Benderius, Christian Berger, and Yue Kang. Formally robust and safe trajectory planning and tracking for autonomous vehicles. IEEE Transactions on Intelligent Transportation Systems, 2022. [doi]
[2]: Mathias Storbacka. Development of autonomous navigation systems for maritime applications. Master's thesis, Åbo Akademi University, 2021. [url]
[3]: Nrupathung Ashok, Mats Jonasson, Maliheh Sadeghi Kati, Akhil Srinivas, Vikram Parshetti, Anand Prabhu, Pratham Jain, and Reddy Lohith. Development of test environments for reverse assist functions as applied to an a-double vehicle combination. In 16th International Symposium on Heavy Vehicle Transport & Technology. HVTT, 2021. [url]
[4]: Ron Schindler and Giulio Bianchi Piccinini. Truck drivers’ behavior in encounters with vulnerable road users at intersections: Results from a test-track experiment. Accident Analysis & Prevention, 159:106289, 2021. [doi]
[5]: Edith Zavala, Xavier Franch, Jordi Marco, and Christian Berger. Adaptive monitoring for autonomous vehicles using the hafloop architecture. Enterprise Information Systems, 15(2):270–298, 2021. [doi | url]
[6]: Fredrik Brushane, Kai Jämsä, Sebastien Lafond, and Johan Lilius. A experimental research platform for maritime automation and autonomous surface ship applications. IFAC-PapersOnLine, 54(16):390–394, 2021.
[7]: Fredrik Brushane. Application of a distributed software system on an autonomous maritime vehicle. Master's thesis, Åbo Akademi University, 2021. [url]
[8]: Hugo Sica de Andrade. A Process-oriented Approach for Migrating Software to Heterogeneous Platforms. PhD thesis, Chalmers University of Technology, 2021. [url]
[9]: Alan Ali Doosti, Gabriel Ingemarsson, Elmer Lingestål, Martin Losman, Viktor Wennergren, and André Örjas. A hardware-in-the-loop rig for hardwareagnostic simulation of digital twins: The development of a hardware-in-the-loop rig for an autonomous electric race car of chalmers formula student driverless. B.S. thesis, Chalmers University of Technology, 2021. [doi]
[10]: Anna Petersson. Vision-based state estimation of autonomous boats. Master's thesis, Chalmers University of Technology, 2021. [doi | url]
[11]: Björnborg Nguyen. Bio-inspired retinal optic flow perception in robotic navigation. Licentiate thesis, Chalmers University of Technology, 2021. [url]
[12]: Shishir Gurushanthappa and Olle Lindgren. Genetically generated bionic driver models for autonomous road vehicles. Master's thesis, Chalmers University of Technology, 2021. [doi | url]
[13]: Liangyu Wang and Varun Ganapati Hegde. Mapping and 3d reconstruction based on lidar. Master's thesis, Chalmers University of Technology, 2021. [doi | url]
[14]: Andreas Ovnell. 3-d object tracking through the use of a single camera and the motion of a driverless car. Master's thesis, Chalmers University of Technology, 2021. [doi | url]
[15]: Athanasios Rofalis. Detection and classification of marine vehicles. Master's thesis, Chalmers University of Technology, 2021. [doi | url]
[16]: Ola Benderius, Christian Berger, and Krister Blanch. Are we ready for beyond-application high-volume data? the reeds robot perception benchmark dataset. arXiv preprint arXiv:2109.08250, 2021. [url]
[17]: Hugo Andrade, Christian Berger, Ivica Crnkovic, and Jan Bosch. Principles for re-architecting software for heterogeneous platforms. In 2020 27th Asia-Pacific Software Engineering Conference (APSEC), pages 405–414. IEEE, 2020.
[18]: Luca Maria Castiglione, Paolo Falcone, Alberto Petrillo, Simon Pietro Romano, and Stefania Santini. Cooperative intersection crossing over 5g. IEEE/ACM Transactions on Networking, 29(1):303–317, 2020. [doi | url]
[19]: Federico Giaimo, Hugo Andrade, and Christian Berger. Continuous experimentation and the cyber–physical systems challenge: An overview of the literature and the industrial perspective. Journal of Systems and Software, 170:110781, 2020.
[20]: Ruguang You and Hao Hou. Real-time pose estimation by fusing visual and inertial sensors for autonomous driving. Master's thesis, Chalmers University of Technology, 2020. [doi | url]
[21]: Lars Svensson, Monimoy Bujarbaruah, Arpit Karsolia, Christian Berger, and Martin Törngren. Traction adaptive motion planning at the limits of handling. arXiv preprint arXiv:2009.04180, 2020. [url]
[22]: Federico Giaimo. Bridging the Experimental Gap: Applying Continuous Experimentation to the Field of Cyber-Physical Systems, in the Example of the Automotive Domain. PhD thesis, Chalmers University of Technology, 2020. [url]
[23]: Maksims Svecovs and Felix Hörnschemeyer. Real time object localization based on computer vision: Cone detection for perception module of a racing car for formula student driverless. Master's thesis, Chalmers University of Technology, 2020. [doi | url]
[24]: Emil Emanuelsson and Lin Wang. Real-time characteristics of marine object detection under low light conditions: Marine object detection using yolo with near infrared camera. Master's thesis, Chalmers University of Technology, 2020. [doi | url]
[25]: Hugo Andrade, Ola Benderius, Christian Berger, Ivica Crnkovic, and Jan Bosch. Hpm-frame: A decision framework for executing software on heterogeneous platforms. arXiv preprint arXiv:2012.00594, 2020. [url]
[26]: Erik Laurin and Joacim Eberlén. Performance analysis of large-scale realtime video stream configurations. B.S. thesis, University of Gothenburg, 2019. [url]
[27]: Mats Svensson. Sensor fusion and sensor management for automated vehicles. Master's thesis, Chalmers University of Technology, 2019. [doi | url]
[28]: Ivo Batkovic, Mario Zanon, Mohammad Ali, and Paolo Falcone. Real-time constrained trajectory planning and vehicle control for proactive autonomous driving with road users. In 2019 18th European Control Conference (ECC), pages 256–262. IEEE, 2019. [doi | url]
[29]: Linus Eiderström Swahn and Pontus Pohl. Visual slam in an automotive context. B.S. thesis, University of Gothenburg, 2019.
[30]: Kamila Kowalska. Brain–computer interface for autonomous vehicles: An investigation of a hands-free control system. Master's thesis, Chalmers University of Technology, 2019. [doi | url]
[31]: Hugo Brokelind, Oskar Burgman, David Calsson, Edvin Eklund, Oscar Forsman, and Petter Miltén. Hardware development on an autonomous formula car: A chalmers formula student driverless project. B.S. thesis, Chalmers University of Technology, 2019. [doi | url]
[32]: Love Mowitz and Nam Vu. Model predictive control for vehicle steering using road information in the local frame. Master's thesis, Chalmers University of Technology, 2019. [doi | url]
[33]: Meet Rakholia and Oscar Tisell. Design, implementation, and evaluation of vehicle control systems using a side slip estimator. Master's thesis, Chalmers University of Technology, 2019. [doi | url]
[34]: Jannik Lotz, Andreas Vogelsang, Ola Benderius, and Christian Berger. Microservice architectures for advanced driver assistance systems: A case-study. In 2019 IEEE International Conference on Software Architecture Companion (ICSA-C), pages 45–52. IEEE, 2019. [doi | url]
[35]: Marcus Andersson and Martin Baerveldt. Simultaneous localization and mapping for vehicles using orb-slam2. Master's thesis, Chalmers University of Technology, 2018. [doi | url]
[36]: Dan Andersson and Ziwei Huang. Design and evaluation of a software architecture and software deployment strategy. Master's thesis, Chalmers University of Technology, 2018. [doi | url]
[37]: Linus Arnö and Jonas Eriksson. Autonomous vehicle control: Exploring driver modelling conventions by implementation of neuroevolutionary and knowledge-based algorithms. Master's thesis, Chalmers University of Technology, 2018. [doi | url]
[38]: Federico Giaimo. Introducing Continuous Experimentation on Resource-Constrained Cyber-Physical Systems. Licentiate thesis, Chalmers University of Technology, 2018.
[39]: Weiming Li and Yumeng Jiang. Stereo visual odometry using a supervised detector. Master's thesis, Chalmers University of Technology, 2018. [doi | url]
[40]: Federico Giaimo and Christian Berger. Design criteria to architect continuous experimentation for self-driving vehicles. In 2017 IEEE International Conference on Software Architecture (ICSA), pages 203–210. IEEE, 2017. [doi | url]
[41]: Hang Yin and Christian Berger. Mastering data complexity for autonomous driving with adaptive point clouds for urban environments. In 2017 IEEE Intelligent Vehicles Symposium (IV), pages 1364–1371. IEEE, 2017. [doi | url]
[42]: Simon Lillskog, Johan Larsson, Victor Huke, and Gustaf Almquist. Autonomt miniatyrfordon-en testplattform för utveckling och utbildning inom autonoma fordon. B.S. thesis, Chalmers University of Technology, 2017. [doi | url]
[43]: Vadiraj Patil. Generic and complete vehicle dynamic models for open-source platforms. Master's thesis, Chalmers University of Technology, 2017. [doi | url]
[44]: Christian Berger, Björnborg Nguyen, and Ola Benderius. Containerized development and microservices for self-driving vehicles: Experiences & best practices. In 2017 IEEE International Conference on Software Architecture Workshops (ICSAW), pages 7–12. IEEE, 2017. [doi]
[45]: Ola Benderius, Christian Berger, and Victor Malmsten Lundgren. The best rated human–machine interface design for autonomous vehicles in the 2016 grand cooperative driving challenge. IEEE Transactions on intelligent transportation systems, 19(4):1302–1307, 2017. [doi | url]
[46]: Christian Berger. An open continuous deployment infrastructure for a self-driving vehicle ecosystem. In IFIP International Conference on Open Source Systems, pages 177–183. Springer, 2016.
[47]: Björnborg Nguyen. Real world applications and analysis of v2x communication in the 2016 grand v2x communication in the 2016 grand cooperative driving challenge. Master's thesis, Chalmers University of Technology, 2016. [doi | url]
[48]: Philip Masek and Thulin Magnus. Container based virtualisation for software deployment in self-driving vehicles. Master's thesis, Chalmers University of Technology, 2016. [doi | url]
[49]: Philip Masek, Magnus Thulin, Hugo Andrade, Christian Berger, and Ola Benderius. Systematic evaluation of sandboxed software deployment for real-time software on the example of a self-driving heavy vehicle. In 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), pages 2398–2403. IEEE, 2016. [doi | url]