Multimodal End-to-End Learning for Autonomous Steering in Adverse Road and Weather Conditions. - Jyri Maanpää; Josef Taher; Petri Manninen; Leo Pakola; Iaroslav Melekhov; Juha Hyyppä (ICPR, 2020)

Leveraging Road Area Semantic Segmentation with Auxiliary Steering Task. - Jyri Maanpää; Iaroslav Melekhov; Josef Taher; Petri Manninen; Juha Hyyppä (ICIAP (1), 2022)

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)

Unsupervised semantic segmentation of urban high-density multispectral point clouds. - Oona Oinonen; Lassi Ruoppa; Josef Taher; Matti Lehtomäki; Leena Matikainen; Kirsi Karila; Teemu Hakala; Antero Kukko; Harri Kaartinen; Juha Hyyppä (CoRR, 2024)

Railroad Environment Mobile Laser Scanning Data. - Aleksi Kononen; Harri Kaartinen; Antero Kukko; Matti Lehtomäki; Josef Taher; Juha Hyyppä (Zenodo, 2024)

Unsupervised deep learning for semantic segmentation of multispectral LiDAR forest point clouds. - Lassi Ruoppa; Oona Oinonen; Josef Taher; Matti Lehtomäki; Narges Takhtkeshha; Antero Kukko; Harri Kaartinen; Juha Hyyppä (CoRR, 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)