Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Andreas Eidehall"'
Publikováno v:
SAE Technical Paper Series.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::744d96fd551846d2bfc440f93797ae38
https://doi.org/10.4271/2016-01-0169
https://doi.org/10.4271/2016-01-0169
Autor:
Lars Petersson, Andreas Eidehall
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 9:137-147
This paper presents a threat-assessment algorithm for general road scenes. A road scene consists of a number of objects that are known, and the threat level of the scene is based on their current positions and velocities. The future driver inputs of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::812c42ead5cf440ba708defd174ea648
https://doi.org/10.1109/tits.2007.909241
https://doi.org/10.1109/tits.2007.909241
Publikováno v:
Control Engineering Practice. 15:1484-1494
Detection and tracking of other vehicles and estimation of lane geometry will be required for many intelligent driver assistance systems in the future. By combining the processing of these two features into a single filter, better utilisation of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::741f18fd6b7de8c6e3063a2fa083a1a7
https://doi.org/10.1016/j.conengprac.2007.02.010
https://doi.org/10.1016/j.conengprac.2007.02.010
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 8:84-94
This paper presents a new automotive safety function called Emergency Lane Assist (ELA). ELA combines conventional lane guidance systems with a threat assessment module that tries to activate the lane guidance interventions according to the actual ri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e2d66becb71aa75eb71b1b46c3a9908
https://doi.org/10.1109/tits.2006.888606
https://doi.org/10.1109/tits.2006.888606
Autor:
David Madas, Andreas Eidehall
Publikováno v:
ITSC
Auto-brake systems have been on the market for a few years, but in order to continue improving their performance, multi-target threat assessment is a key component. The goal is to trigger braking as soon as possible, but only if necessary, by detecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bff1d827037309a98706288a6ff07602
https://doi.org/10.1109/itsc.2013.6728349
https://doi.org/10.1109/itsc.2013.6728349
Autor:
Karl-Magnus Dahlén, David Madas, Peter Sundström, Mohsen Nosratinia, Andreas Eidehall, Mansour Keshavarz, Rolland Philippsen
Publikováno v:
Intelligent Vehicles Symposium
There is a strong trend for increasingly sophisticated Advanced Driver Assistance Systems (ADAS) such as Autonomous Emergency Braking (AEB) systems, Lane Keeping Aid (LKA) systems, and indeed autonomous driving. This trend generates a need for online
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eeb7c04a9440fb3d83c13cc01f95fcea
https://doi.org/10.1109/ivs.2013.6629586
https://doi.org/10.1109/ivs.2013.6629586
Autor:
Andreas Eidehall
Publikováno v:
ITSC
Auto-brake systems have been on the market for a few years, but in order to continue improving their performance, multi-target threat assessment is a key component. The goal is to early be able to say that a collision can no longer be avoided by a st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6023853430e72d9f03054c5e18972e17
https://doi.org/10.1109/itsc.2011.6082801
https://doi.org/10.1109/itsc.2011.6082801
Publikováno v:
ITSC
More and more vehicles are being equipped with Automatic Emergency Braking (AEB) systems. These systems intend to help the driver avoid or mitigate accidents by automatically applying the brakes prior to an accident. Initially only rear-end collision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa9556f8d769314edd22bebcf380670c
https://doi.org/10.1109/itsc.2010.5625077
https://doi.org/10.1109/itsc.2010.5625077
Publikováno v:
2007 IEEE Intelligent Vehicles Symposium.
This paper presents improvements and extensions of a previously presented threat assessment algorithm. The algorithm uses Monte Carlo simulation to find threats in a road scene. It is shown that by using a wider sample distribution and only apply the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::216d9a6bc82544ea2e50a2af2ff9d2ab
https://doi.org/10.1109/ivs.2007.4290120
https://doi.org/10.1109/ivs.2007.4290120
Autor:
Andreas Eidehall, Fredrik Gustafsson
Publikováno v:
2006 IEEE Intelligent Vehicles Symposium.
In many applications of tracking and sensing systems, reference data for tuning and verification of system performance is unavailable. In this article the problem of automotive on-line road shape estimation is discussed and a method for obtaining ref
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb4795ef7737e2e73f5b5d6db6312719
https://doi.org/10.1109/ivs.2006.1689638
https://doi.org/10.1109/ivs.2006.1689638