Real-time detection of young spruce using color and texture features on an autonomous forest machine. - Heikki Hyyti; Jouko Kalmari; Arto Visala (IJCNN, 2013)

Detection and species classification of young trees using machine perception for a semi-autonomous forest machine. - Mikko Vihlman; Heikki Hyyti; Jouko Kalmari; Arto Visala (ICRA, 2015)

Forestry crane posture estimation with a two-dimensional laser scanner. - Heikki Hyyti; Ville V. Lehtola; Arto Visala (J. Field Robotics, 2018)

Preregistration Classification of Mobile LIDAR Data Using Spatial Correlations. - Ville V. Lehtola; Matti Lehtomäki; Heikki Hyyti; Risto Kaijaluoto; Antero Kukko; Harri Kaartinen; Juha Hyyppä (IEEE Trans. Geosci. Remote. Sens., 2019)

Towards High-Definition Maps: a Framework Leveraging Semantic Segmentation to Improve NDT Map Compression and Descriptivity. - Petri Manninen; Heikki Hyyti; Ville Kyrki; Jyri Maanpää; Josef Taher; Juha Hyyppä (IROS, 2022)

Feasibility of Hyperspectral Single Photon Lidar for Robust Autonomous Vehicle Perception. - Josef Taher; Teemu Hakala; Anttoni Jaakkola; Heikki Hyyti; Antero Kukko; Petri Manninen; Jyri Maanpää; Juha Hyyppä (Sensors, 2022)

FGI ARVO VLS-128 LiDAR Point Cloud, Käpylä, 7th of September 2020. - Petri Manninen; Paula Litkey; Eero Ahokas; Jyri Maanpää; Josef Taher; Heikki Hyyti; Juha Hyyppä (Zenodo, 2022)

Can the Perception Data of Autonomous Vehicles Be Used to Replace Mobile Mapping Surveys? - A Case Study Surveying Roadside City Trees. - Eric Hyyppä; Petri Manninen; Jyri Maanpää; Josef Taher; Paula Litkey; Heikki Hyyti; Antero Kukko; Harri Kaartinen; Eero Ahokas; Xiaowei Yu; Jesse Muhojoki; Matti Lehtomäki; et al. (Remote. Sens., 2023)

Dense Road Surface Grip Map Prediction from Multimodal Image Data. - Jyri Maanpää; Julius Pesonen; Heikki Hyyti; Iaroslav Melekhov; Juho Kannala; Petri Manninen; Antero Kukko; Juha Hyyppä (ICPR (17), 2024)

Concepts Towards Nation-Wide Individual Tree Data and Virtual Forests. - Matti Hyyppä; Tuomas Turppa; Heikki Hyyti; Xiaowei Yu; Hannu Handolin; Antero Kukko; Juha Hyyppä; Juho-Pekka Virtanen (ISPRS Int. J. Geo Inf., 2024)

Integration of a Mobile Laser Scanning System with a Forest Harvester for Accurate Localization and Tree Stem Measurements. - Tamás Faitli; Eric Hyyppä; Heikki Hyyti; Teemu Hakala; Harri Kaartinen; Antero Kukko; Jesse Muhojoki; Juha Hyyppä (Remote. Sens., 2024)

Road Grip Uncertainty Estimation Through Surface State Segmentation. - Jyri Maanpää; Julius Pesonen; Iaroslav Melekhov; Heikki Hyyti; Juha Hyyppä (SCIA (1), 2025)

Ultra-Wideband-Based Method for Measuring Tree Positions With Decimeter-Level Accuracy Under a Forest Canopy. - Zuoya Liu; Harri Kaartinen; Teemu Hakala; Heikki Hyyti; Juha Hyyppä; Antero Kukko; Ruizhi Chen; Mikko Vastaranta (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms. - Josef Taher; Eric Hyyppä; Matti Hyyppä; Klaara Salolahti; Xiaowei Yu; Leena Matikainen; Antero Kukko; Matti Lehtomäki; Harri Kaartinen; Sopitta Thurachen; Paula Litkey; Ville Luoma; et al. (CoRR, 2025)