Fast Classification of Empty and Occupied Parking Spaces Using Integral Channel Features. - Martin Ahrnbom; Kalle Åström; Mikael G. Nilsson (CVPR Workshops, 2016)

Improving a Real-Time Object Detector with Compact Temporal Information. - Martin Ahrnbom; Morten Borno Jensen; Kalle Åström; Mikael G. Nilsson; Håkan Ardö; Thomas B. Moeslund (ICCV Workshops, 2017)

A Search Space Strategy for Pedestrian Detection and Localization in World Coordinates. - Mikael G. Nilsson; Martin Ahrnbom; Håkan Ardö; Aliaksei Laureshyn (VISIGRAPP (5: VISAPP), 2018)

Calibration and Absolute Pose Estimation of Trinocular Linear Camera Array for Smart City Applications. - Martin Ahrnbom; Mikael G. Nilsson; Håkan Ardö; Kalle Åström; Oksana Yastremska-Kravchenko; Aliaksei Laureshyn (ICPR, 2020)

Real-time and Online Segmentation Multi-target Tracking with Track Revival Re-identification. - Martin Ahrnbom; Mikael G. Nilsson; Håkan Ardö (VISIGRAPP (5: VISAPP), 2021)

Height Normalizing Image Transform for Efficient Scene Specific Pedestrian Detection. - Håkan Ardö; Martin Ahrnbom; Mikael G. Nilsson (AVSS, 2022)

Generalized Urban Traffic Surveillance (GUTS): World-Coordinate Tracking for Traffic Safety Applications. - Martin Ahrnbom; Ivar Persson; Håkan Ardö; Mikael G. Nilsson (ITSC, 2022)

Seg2Pose: Pose Estimations from Instance Segmentation Masks in One or Multiple Views for Traffic Applications. - Martin Ahrnbom; Ivar Persson; Mikael G. Nilsson (VISIGRAPP (5: VISAPP), 2022)

Monocular Estimation of Translation, Pose and 3D Shape on Detected Objects using a Convolutional Autoencoder. - Ivar Persson; Martin Ahrnbom; Mikael G. Nilsson (VISIGRAPP (5: VISAPP), 2022)

Computer Vision for Automated Traffic Safety Assessment: A Machine Learning Approach. - Martin Ahrnbom (2022)