John Dahl

Publications (8)
Projects (0)

Showing 8 publications

2023

Machine Learning-Based Prediction Models and Threat Detection for Lane-Keeping Assistance

John Dahl

Doctoral thesis

2023

Prediction-Uncertainty-Aware Threat Detection for ADAS: A Case Study on Lane-Keeping Assistance

John Dahl, Gabriel Rodrigues de Campos, Jonas Fredriksson

IEEE Transactions on Intelligent Vehicles. Vol. 8 (4), p. 2914-2925

Journal article

2023

Intention-Aware Lane Keeping Assist Using Driver Gaze Information

John Dahl, Gabriel Rodrigues de Campos, Jonas Fredriksson

IEEE Intelligent Vehicles Symposium, Proceedings. Vol. 2023-June

Paper in proceeding

Show project

2022

Performance and Efficiency Analysis of a Linear Learning-Based Prediction Model Used for Unintended Lane-Departure Detection

John Dahl, Gabriel Rodrigues de Campos, Jonas Fredriksson

IEEE Transactions on Intelligent Transportation Systems. Vol. 23 (7), p. 9115 -9125

Journal article

2020

A Path Prediction Model Based on Multiple Time Series Analysis Tools Used to Detect Unintended Lane Departures

John Dahl, Gabriel Rodrigues de Campos, Jonas Fredriksson

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Paper in proceeding

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2019

Collision Avoidance: A Literature Review on Threat-Assessment Techniques

John Dahl, Gabriel Rodrigues de Campos, Claes Olsson et al

IEEE Transactions on Intelligent Vehicles. Vol. 4 (1), p. 101-113

Journal article

2019

Automotive Safety: a Neural Network Approach for Lane Departure Detection using Real World Driving Data

John Dahl, Rasmus Jonsson, Anton Kollmats et al

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Paper in proceeding

2016

An improved dual Newton strategy for scenario-tree MPC

Emil Klintberg, John Dahl, Jonas Fredriksson et al

Proceedings of the 55th IEEE Conference on Decision and Control (CDC 2016); Las Vegas; United States; 12-14 December 2016, p. Art no 7798822, Pages 3675-3681

Paper in proceeding

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