Jana Fank

Jana Fank
Technische Universität München | TUM · Institute of Automotive Technology

Master of Science

About

12
Publications
2,107
Reads
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39
Citations
Citations since 2017
12 Research Items
39 Citations
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Introduction
Jana Fank currently works at the Institute of Automotive Technology, Technische Universität München. Jana does research in HMI Design for cooperated and automated driving.

Publications

Publications (12)
Article
Full-text available
Cooperation between road users based on V2X communication has the potential to make road traffic safer and more efficient. The exchange of information enables the cooperative orchestration of critical traffic situations, such as truck overtaking maneuvers on freeways. With the benefit of such a system, questions arise concerning system failure or t...
Presentation
Full-text available
Autonomous Driving Software Engineering - Lecture 12: From Driver to Passenger
Chapter
Studies from various disciplines have showed, that adding human characteristics to non-human object improves the interaction between human and this object. It can be assumed that human-like technologies have a positive influence on driver-vehicle interaction as well. This study investigates the potential to increase the willingness of truck drivers...
Article
Lkw-Überholmanöver auf Autobahnen können Konfliktsituationen provozieren. Das lange Blockieren der Überholspur und plötzliche Ausscheren kann zu einer Aufstauung von Fahrzeugen hinter dem Lkw sowie zu starkem Abbremsen schnell herannahender Pkw führen. Verbesserte Sensortechnologien und Fahrerassistenzsysteme bieten die Möglichkeit, dass Verkehrste...
Article
The general role of personal assistants in form of anthropomorphised conversational, virtual or robotic agents in cars is subject to research since a few years and the first results indicate numerous positive effects of these anthropomorphised interfaces. However, no comprehensive review of the conducted studies has been comprised yet. Furthermore,...
Chapter
User acceptance is widely recognized as a major factor for predicting the intention to use a technical device. As such, personal assistants for truck drivers pose significant design and function challenges. Long, solitary hours and comprehensive interaction with the vehicle open various possibilities for an assistant’s service. Including drivers’ r...
Conference Paper
Lkw-Überholmanöver auf Autobahnen können Konfliktsituationen provozieren. Das lange Blockieren der Überholspur und plötzliche Ausscheren kann zu einer Aufstauung von Fahrzeugen hinter dem Lkw sowie zu starkem Abbremsen schnell heranfahrender Pkw führen. Verbesserte Sensortechnologien und Fahrerassistenzsysteme bieten die Möglichkeit, dass Verkehrst...
Chapter
Vorwort Sehr geehrte Damen und Herren, Fahrerassistenzsysteme und insbesondere automatisches Fahren definieren die Mobilität der Zukunft in erheblichem Maße. Zahlreiche Systeme sind heute fest im Markt etabliert. Studien belegen, dass durch deren Einführung nicht nur der Fahrkomfort, sondern vor allem die Sicherheit des Fahrers und seiner Umgebung...
Conference Paper
Full-text available
Improved sensor technologies and driver assistance systems offer the possibility for drivers to coordinate their driving maneuvers. Building on this development, a cooperative assistance system could make traffic safer and more efficient. This paper describes the methodology and results of a two-step study evaluating user acceptance factors of a fu...

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Projects

Projects (3)
Project
The Institute of Automotive Technology has launched the new lecture "Autonomous Driving Software Engineering" in summer term 2021. The lecture gives a comprehensive overview about methods and challenges in the current state of the art of the software modules for self-driving cars. The goal is to improve the system knowledge of students and engineers in the field of automated driving and to identify further research directions on the way to level 5 of automated driving on public roads.
Project
The IMAGinE (Intelligent Maneuver Automation – cooperative hazard avoidance in realtime) project is developing innovative driving assistance systems for cooperative driving. Cooperative driving refers to road traffic behaviour in which road users cooperatively plan and execute driving maneuvers. Individual driving behaviour is coordinated with other road users and the overall traffic situation based on automatic information exchange between vehicles and infrastructure. Critical situations can be avoided or mitigated, thereby making driving safer and more efficient. Within the Project IMAGinE, the TU Munich researchs together with automotive manufacturers, suppliers and scientific research institutes cooperative Advanced Driver Assistance System (ADAS). The research initiative is supported by the German Federal Ministry of Economics and Energy.