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Key technologies for intelligent and safer cars - From motion estimation to predictive collision avoidance

  • ETH Zürich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

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 languageEnglish
Title of host publicationISIE 2010 - 2010 IEEE International Symposium on Industrial Electronics
Pages2803-2808
Number of pages6
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 IEEE International Symposium on Industrial Electronics, ISIE 2010 - Bari, Italy
Duration: 4 Jul 20107 Jul 2010

Publication series

NameIEEE International Symposium on Industrial Electronics

Conference

Conference2010 IEEE International Symposium on Industrial Electronics, ISIE 2010
Country/TerritoryItaly
CityBari
Period4/07/107/07/10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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