Abstract
Development and testing of ADAS is largely based on models and simulations, but real data are indispensable for many reasons – to determine the relevant scenarios, to establish a connection between the results of the simulations and the real situation and of course as elements to set up realistic models. Using data, however, is not trivial, as not all data are informative, and even extensive data sets are often incomplete. Indeed, data is not automatically information, and the richness of the data sets is more important than their size. Data should be diverse not only with respect to different scenarios but also geographically in order to be not biased towards a specific location. In this paper, we present a new aerial-view dataset of highway exits and entrances. The data have been collected in Austria and Italy and contain positions, velocities, and accelerations (in both local and global coordinate systems) of cars, vans, and trucks for Austria and additionally for motorbikes and buses in Italy. The uniqueness of the dataset consists not only in the measurements in different countries, but also in the flight height in Austria, where the recordings have been taken from 300 meters altitude allowing to observe an over 600 meters long section of the road. For non-commercial use, the dataset is available free of charge at the IEEE DataPort.
Original language | English |
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Number of pages | 9 |
Journal | IEEE Access |
DOIs | |
Publication status | Published - 2022 |
Fields of science
- 303 Health Sciences
- 303008 Ergonomics
- 201306 Traffic telematics
- 202031 Network engineering
- 202036 Sensor systems
- 202038 Telecommunications
- 202040 Transmission technology
- 203 Mechanical Engineering
- 211908 Energy research
- 211911 Sustainable technologies
- 102 Computer Sciences
- 102001 Artificial intelligence
- 102002 Augmented reality
- 102003 Image processing
- 102013 Human-computer interaction
- 102015 Information systems
- 102019 Machine learning
- 102021 Pervasive computing
- 102024 Usability research
- 102026 Virtual reality
- 102029 Practical computer science
- 102034 Cyber-physical systems
- 501026 Psychology of perception
- 501 Psychology
- 501025 Traffic psychology
- 201305 Traffic engineering
- 202 Electrical Engineering, Electronics, Information Engineering
- 202003 Automation
- 202030 Communication engineering
- 202034 Control engineering
- 202035 Robotics
- 202037 Signal processing
- 202041 Computer engineering
- 203004 Automotive technology
- 211902 Assistive technologies
- 211909 Energy technology
- 211917 Technology assessment
- 501030 Cognitive science
JKU Focus areas
- Digital Transformation
- Sustainable Development: Responsible Technologies and Management