Zobrazeno 1 - 10
of 1 919
pro vyhledávání: '"Markkula, A"'
Private 5G networks provide enhanced security, a wide range of optimized services through network slicing, reduced latency, and support for many IoT devices in a specific area, all under the owner's full control. Higher security and privacy to protec
Externí odkaz:
http://arxiv.org/abs/2412.01634
Understanding pedestrian behavior is crucial for the safe deployment of Autonomous Vehicles (AVs) in urban environments. Traditional pedestrian behavior models often fall into two categories: mechanistic models, which do not generalize well to comple
Externí odkaz:
http://arxiv.org/abs/2409.14522
Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS) are expected to improve comfort, productivity and, most importantly, safety for all road users. To ensure that the systems are safe, rules and regulations describing the sy
Externí odkaz:
http://arxiv.org/abs/2406.09493
Autor:
Wang, Yueyang, Srinivasan, Aravinda Ramakrishnan, Jokinen, Jussi P. P., Oulasvirta, Antti, Markkula, Gustav
This paper presents a model of pedestrian crossing decisions, based on the theory of computational rationality. It is assumed that crossing decisions are boundedly optimal, with bounds on optimality arising from human cognitive limitations. While pre
Externí odkaz:
http://arxiv.org/abs/2402.04370
Autor:
Hashmi, Sajid Ibrahim, Markkula, Jouni
One of the objectives of software engineering education is to make students to learn essential teamwork skills. This is done by having the students work in groups for course assignments. Student team composition plays a vital role in this, as it sign
Externí odkaz:
http://arxiv.org/abs/2306.08431
Autor:
Schumann, Julian F., Srinivasan, Aravinda Ramakrishnan, Kober, Jens, Markkula, Gustav, Zgonnikov, Arkady
The development of automated vehicles has the potential to revolutionize transportation, but they are currently unable to ensure a safe and time-efficient driving style. Reliable models predicting human behavior are essential for overcoming this issu
Externí odkaz:
http://arxiv.org/abs/2305.15187
Autor:
Srinivasan, Aravinda Ramakrishnan, Schumann, Julian, Wang, Yueyang, Lin, Yi-Shin, Daly, Michael, Solernou, Albert, Zgonnikov, Arkady, Leonetti, Matteo, Billington, Jac, Markkula, Gustav
Accurate modelling of road user interaction has received lot of attention in recent years due to the advent of increasingly automated vehicles. To support such modelling, there is a need to complement naturalistic datasets of road user interaction wi
Externí odkaz:
http://arxiv.org/abs/2305.11909
Autor:
Zhang, Chi, Kalantari, Amir Hossein, Yang, Yue, Ni, Zhongjun, Markkula, Gustav, Merat, Natasha, Berger, Christian
Publikováno v:
C. Zhang et al, "Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings," 2023 IEEE Intelligent Vehicles Symposium (IV), Anchorage, AK, USA, 2023, pp. 1-8
Predicting pedestrian behavior when interacting with vehicles is one of the most critical challenges in the field of automated driving. Pedestrian crossing behavior is influenced by various interaction factors, including time to arrival, pedestrian w
Externí odkaz:
http://arxiv.org/abs/2304.08260
Autor:
T. Lepistö, H. Lintusaari, L. Salo, V. Silvonen, L. M. F. Barreira, J. Hoivala, L. Markkula, J. V. Niemi, J. Ondracek, K. Teinilä, H. E. Manninen, S. Saarikoski, H. Timonen, M. Dal Maso, T. Rönkkö
Publikováno v:
Aerosol Research, Vol 2, Pp 271-289 (2024)
It has become evident that additional metrics along the particle mass concentration, together with dense air quality monitoring networks within cities, are needed to understand the most efficient ways to tackle the health burden of particulate pollut
Externí odkaz:
https://doaj.org/article/a13137e421334f518082b65a7152ea2e
Autor:
Wei, Ran, McDonald, Anthony D., Garcia, Alfredo, Markkula, Gustav, Engstrom, Johan, O'Kelly, Matthew
Driver process models play a central role in the testing, verification, and development of automated and autonomous vehicle technologies. Prior models developed from control theory and physics-based rules are limited in automated vehicle applications
Externí odkaz:
http://arxiv.org/abs/2303.15201