John Dahl
John Dahl
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Collision avoidance: A literature review on threat-assessment techniques
J Dahl, GR de Campos, C Olsson, J Fredriksson
IEEE Transactions on Intelligent Vehicles 4 (1), 101-113, 2018
An improved dual Newton strategy for scenario-tree MPC
E Klintberg, J Dahl, J Fredriksson, S Gros
2016 IEEE 55th Conference on Decision and Control (CDC), 3675-3681, 2016
Automotive safety: a neural network approach for lane departure detection using real world driving data
J Dahl, R Jonsson, A Kollmats, GR de Campos, J Fredriksson
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3669-3674, 2019
Prediction-uncertainty-aware threat detection for adas: A case study on lane-keeping assistance
J Dahl, GR de Campos, J Fredriksson
IEEE Transactions on Intelligent Vehicles, 2023
Performance and efficiency analysis of a linear learning-based prediction model used for unintended lane-departure detection
J Dahl, GR de Campos, J Fredriksson
IEEE Transactions on Intelligent Transportation Systems 23 (7), 9115-9125, 2021
A path prediction model based on multiple time series analysis tools used to detect unintended lane departures
J Dahl, GR de Campos, J Fredriksson
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
Intention-Aware Lane Keeping Assist Using Driver Gaze Information
J Dahl, GR de Campos, J Fredriksson
2023 IEEE Intelligent Vehicles Symposium (IV), 1-7, 2023
Machine Learning-Based Prediction Models and Threat Detection for Lane-Keeping Assistance
J Dahl
Electrical engineering, Chalmers, 2023
Method and system for determining at least one driving manoeuver in relation to a potential collision
J Dahl
EP Patent App. EP3756962A1, 2020
The effects of the power amplifier on wideband radar signals
J Dahl, S Holmqvist
Signals and systems, Chalmers, 2013
Förbättrad säkerhetseffekt av kollisionsundvikande styrande system
C Olsson, J Dahl, J Fredriksson
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