Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Björn Olofsson"'
Publikováno v:
IFAC-PapersOnLine. 55:233-240
Publikováno v:
Vehicle System Dynamics. 60:2231-2254
Autonomous vehicles allow utilisation of new optimal driving approaches that increase vehicle safety by combining optimal all-wheel braking and steering even at the limit of tyre-road friction. One important case is an avoidance manoeuvre that, in pr
Publikováno v:
Vehicle System Dynamics. 58:1101-1122
With new developments in sensor technology, a new generation of vehicle dynamics controllers is developing, where the braking and steering strategies use more information, e.g. knowledge of road borders. The basis for vehicle-safety systems is how th
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 16:972-983
The problem of planning a trajectory for robots starting in an initial state and reaching a final state in a desired interval of time is tackled. We propose an approach based on model predictive control to solve the problem of point-to-point trajecto
Publikováno v:
IFAC-PapersOnLine. 52:458-464
A simplified combined-slip model that only considers the extreme case at the friction limit is suggested and used in a closed-loop controller for autonomous vehicle handling in at-the-limit maneuve ...
Publikováno v:
IFAC-PapersOnLine. 52:78-84
A method to decompose a motion-planning problem into several segments is presented. It is based on a modification of the original problem, such that certain variables at the splitting points are co ...
Autonomous vehicles hold promise for increased vehicle and traffic safety, and there are several developments in the field where one example is an avoidance maneuver. There it is dangerous for the vehicle to be in the opposing lane, but it is safe to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff4e25111264d340332c9306eb0ff430
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-178560
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-178560
Autor:
Lars Nielsen, Björn Olofsson
Autonomous vehicle functions in safety-critical situations show promise in reducing the risk and saving lives in accidents compared to existing safety systems. Consequently, it is from many perspectives advantageous to be able to quantify the potenti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7275f03d42371a338b927fb5f00b1342
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-172144
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-172144
Handling of critical situations is an important part in the architecture of an autonomous vehicle. A controller for autonomous collision avoidance is developed based on a wary strategy that assumes the least tireroad friction for which the maneuver i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff26da342bf52b99dee6accdf2fe4668
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170507
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170507
Publikováno v:
ITSC
The use of learning-based methods for vehicle behavior prediction is a promising research topic. However, many publicly available data sets suffer from class distribution skews which limits learning performance if not addressed. This paper proposes a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5ee31ab25eb879d6122b5b88fc8b028