Abstract
The automotive and transport sector is undergoing a paradigm shift from manual to highly automated driving. This transition is driven by a proliferation of advanced driver assistance systems (ADAS) that seek to provide vehicle occupants with a safe, efficient, and comfortable driving experience. However, increasing the level of automation makes exhaustive physical testing of ADAS technologies impractical. Therefore, the automotive industry is increasingly turning to virtual simulation platforms to speed up time-to-market. This paper introduces the second version of our open-source See-Through Sight (CiThruS) simulation framework that provides a novel photorealistic virtual environment for vision-based ADAS development. Our 3D urban scene supports realistic traffic infrastructure and driving conditions with a plurality of time-of-day, weather, and lighting effects. Different traffic scenarios can be generated with practically any number of autonomous vehicles and pedestrians that can be made to comply with dedicated traffic regulations. All implemented features have been carefully optimized and the performance of our lightweight simulator exceeds 4K (3840 × 2160) rendering speed of 60 frames per second when run on NVIDIA GTX 1060 graphics card or equivalent consumer-grade hardware. Photorealistic graphics rendering and real-time simulation speed make our proposal suitable for a broad range of applications, including interactive driving simulators, visual traffic data collection, virtual prototyping, and traffic flow management.
| Original language | English |
|---|---|
| Title of host publication | 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 |
| Publisher | IEEE |
| Pages | 3284-3291 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781728191423 |
| DOIs | |
| Publication status | Published - 19 Sept 2021 |
| Publication type | A4 Article in conference proceedings |
| Event | IEEE International Intelligent Transportation Systems Conference - Duration: 19 Sept 2021 → 22 Sept 2021 |
Publication series
| Name | IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC |
|---|---|
| Volume | 2021-September |
Conference
| Conference | IEEE International Intelligent Transportation Systems Conference |
|---|---|
| Period | 19/09/21 → 22/09/21 |
Funding
This paper is part of the NEWCONTROL project that has received funding within the ECSEL JU in collaboration with the European Union's H2020 Framework Programme (H2020/2014-2020) and National Authorities, under grant agreement 826653.
Keywords
- Advanced driver-assistance systems (ADAS)
- driving simulation
- open-source software
- photorealism
- traffic imaging
Publication forum classification
- Publication forum level 0
ASJC Scopus subject areas
- Automotive Engineering
- Mechanical Engineering
- Computer Science Applications
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