Mattias Brännström

Visar 20 publikationer

2021

Driving strategies and detection for treacherous road condition

Mats Jonasson, Mattias Brännström, Jonas Nilsson
Patent
2019

Learning faster to perform autonomous lane changes by constructing maneuvers from shielded semantic actions

Dapeng Liu, Mattias Brännström, Andrew Backhouse et al
2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, p. 1838-1844
Paper i proceeding
2017

Safe autonomous lane changes in dense traffic

Rajashekar Chandru, Yuvaraj Selvaraj, Mattias Brännström et al
IEEE International Conference on Intelligent Transportation Systems-ITSC. Vol. 2018-March
Paper i proceeding
2017

Method and system for handling conditions of a road on which a vehicle travels

Mats Jonasson, Jonas Nilsson, Mattias Brännström
Patentansökan
2017

Lane Change Maneuvers for Automated Vehicles

Julia Nilsson, Mattias Brännström, Erik Coelingh et al
IEEE Transactions on Intelligent Transportation Systems. Vol. 18 (5), p. 1087-1096
Artikel i vetenskaplig tidskrift
2016

If, When, and How to Perform Lane Change Maneuvers on Highways

Julia Nilsson, Jonatan Silvlin, Mattias Brännström et al
IEEE Intelligent Transportation Systems Magazine. Vol. 8 (4), p. 68-78
Artikel i vetenskaplig tidskrift
2016

Longitudinal and Lateral Control for Automated Yielding Maneuvers

Julia Nilsson, Mattias Brännström, Jonas Fredriksson et al
IEEE Transactions on Intelligent Transportation Systems. Vol. 17 (5), p. 1404-1414
Artikel i vetenskaplig tidskrift
2015

Longitudinal and lateral control for automated lane change maneuvers

Julia Nilsson, Mattias Brännström, Erik Coelingh et al
American Control Conference. Vol. 2015-July, p. 1399-1404
Paper i proceeding
2014

Decision-making on when to brake and when to steer to avoid a collision

Mattias Brännström, Erik Coelingh, Jonas Sjöberg
International Journal of Vehicle Safety. Vol. 7 (1), p. 87-106
Artikel i vetenskaplig tidskrift
2013

A Probabilistic Framework for Decision-Making in Collision Avoidance Systems

Mattias Brännström, Fredrik Sandblom, Lars Hammarstrand
IEEE Transactions on Intelligent Transportation Systems. Vol. 14 (2), p. 637-648
Artikel i vetenskaplig tidskrift
2011

A Real-time Implementation of an Intersection Collision Avoidance System

Mattias Brännström, Jonas Sjöberg, Linus Helgesson et al
IFAC Proceedings Volumes (IFAC-PapersOnline). Vol. 18 (PART 1), p. 9794-9798
Paper i proceeding
2011

Decision Making on when to Brake and when to Steer to Avoid a Collision

Mattias Brännström, Erik Coelingh, Jonas Sjöberg
First International Symposium on Future Active Safety Technology toward zero-traffic-accident, September 5-9, 2011, Tokyo, JAPAN
Paper i proceeding
2011

Decision-Making in Automotive Collision Avoidance Systems

Mattias Brännström
Doktorsavhandling
2011

Probabilistic Threat Assessment and Driver Modeling in Collision Avoidance Systems

Fredrik Sandblom, Mattias Brännström
IEEE Intelligent Vehicles Symposium, Proceedings, p. 914-919
Paper i proceeding
2010

Model-Based Threat Assessment for Avoiding Arbitrary Vehicle Collisions

Mattias Brännström, Erik Coelingh, Jonas Sjöberg
IEEE Transactions on Intelligent Transportation Systems. Vol. 11 (3), p. 658-669
Artikel i vetenskaplig tidskrift
2010

Driver models to increase the potential of automotive active safety functions

Jonas Sjöberg, Erik Coelingh, Mohammad Ali et al
Proceedings of 18th European Signal Processing Conference 2010, Aalborg, Denmark, August 23-27 2010, p. 204-208
Paper i proceeding
2009

Threat assessment for avoiding collisions with turning vehicles

Mattias Brännström, Erik Coelingh, Jonas Sjöberg
IV'09 - 2009 IEEE Intelligent Vehicles Symposium
Paper i proceeding
2009

Automatic incident detection and classification at intersections

Jorge Alejandro León Cano, Jordanka Kovaceva, Magdalena Lindman et al
21st International Conference on Enhanced Safety of Vehicles, ESV, p. Paper 09-0234
Övrigt konferensbidrag
2008

A situation and threat assessment algorithm for a rear-end collision avoidance system

Mattias Brännström, Jonas Sjöberg, Erik Coelingh
Intelligent Vehicles Symposium, 2008 IEEE, p. 102-107
Paper i proceeding

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