Abstract
One of the research areas that has received more and more interest during the last years is the development of driver assistant systems and semi-autonomous cars. However, densely populated environments like city centers are still a challenge for the operation of such systems. In this paper, we present approaches to two of the major tasks for autonomous driving in urban environments: self-localization and egomotion estimation and detection of dynamic objects such as cars and pedestrians. For each of these tasks we present a summary of the techniques we employ and results on real data. All modules have been implemented and tested on our autonomous car platform SmartTer.
| Original language | English |
|---|---|
| Title of host publication | ISIE 2010 - 2010 IEEE International Symposium on Industrial Electronics |
| Pages | 2803-2808 |
| Number of pages | 6 |
| DOIs | |
| State | Published - 2010 |
| Externally published | Yes |
| Event | 2010 IEEE International Symposium on Industrial Electronics, ISIE 2010 - Bari, Italy Duration: 4 Jul 2010 → 7 Jul 2010 |
Publication series
| Name | IEEE International Symposium on Industrial Electronics |
|---|
Conference
| Conference | 2010 IEEE International Symposium on Industrial Electronics, ISIE 2010 |
|---|---|
| Country/Territory | Italy |
| City | Bari |
| Period | 4/07/10 → 7/07/10 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Fingerprint
Dive into the research topics of 'Key technologies for intelligent and safer cars - From motion estimation to predictive collision avoidance'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver