Zobrazeno 1 - 10
of 157
pro vyhledávání: '"Ojala Risto"'
Autor:
Ojala, Risto, Alamikkotervo, Eerik
In below freezing winter conditions, road surface friction can greatly vary based on the mixture of snow, ice, and water on the road. Friction between the road and vehicle tyres is a critical parameter defining vehicle dynamics, and therefore road su
Externí odkaz:
http://arxiv.org/abs/2404.16578
In the field of indoor robotics, accurately localizing and mapping in dynamic environments using point clouds can be a challenging task due to the presence of dynamic points. These dynamic points are often represented by people in indoor environments
Externí odkaz:
http://arxiv.org/abs/2401.07541
Detection of the drivable area in all conditions is crucial for autonomous driving and advanced driver assistance systems. However, the amount of labeled data in adverse driving conditions is limited, especially in winter, and supervised methods gene
Externí odkaz:
http://arxiv.org/abs/2312.12954
Autor:
Ojala, Risto, Seppänen, Alvari
Winter conditions pose several challenges for automated driving applications. A key challenge during winter is accurate assessment of road surface condition, as its impact on friction is a critical parameter for safely and reliably controlling a vehi
Externí odkaz:
http://arxiv.org/abs/2310.00923
Adverse weather can cause noise to light detection and ranging (LiDAR) data. This is a problem since it is used in many outdoor applications, e.g. object detection and mapping. We propose the task of multi-echo denoising, where the goal is to pick th
Externí odkaz:
http://arxiv.org/abs/2305.14008
Reliable point cloud data is essential for perception tasks \textit{e.g.} in robotics and autonomous driving applications. Adverse weather causes a specific type of noise to light detection and ranging (LiDAR) sensor data, which degrades the quality
Externí odkaz:
http://arxiv.org/abs/2209.07121
This paper presents a novel architecture for point cloud road user detection, which is based on a classical point cloud proposal generator approach, that utilizes simple geometrical rules. New methods are coupled with this technique to achieve extrem
Externí odkaz:
http://arxiv.org/abs/2206.02597
Publikováno v:
In Pattern Recognition Letters September 2024 185:52-58
Autor:
Korpelainen Raija, Heliövaara Markku, Ojala Risto, Niinimäki Jaakko, Haapea Marianne, Karppinen Jaro, Kuisma Mari, Kaikkonen Kaisu, Taimela Simo, Natri Antero, Tervonen Osmo
Publikováno v:
BMC Musculoskeletal Disorders, Vol 9, Iss 1, p 51 (2008)
Abstract Background Modic changes are bone marrow lesions visible in magnetic resonance imaging (MRI), and they are assumed to be associated with symptomatic intervertebral disc disease, especially changes located at L5-S1. Only limited information e
Externí odkaz:
https://doaj.org/article/bc84009f4df04ef896c0e61130322966
Akademický článek
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