Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 3403-3413 |
| Journal | IEEE Transactions on Intelligent Transportation Systems |
| Volume | 16 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2015 |
| MoE publication type | A1 Journal article-refereed |
Fingerprint
Keywords
- situation awareness
- collision avoidance
- driver assistance
- multi-machine systems
Cite this
}
Assistive situation awareness system for mobile multimachine work environments. / Hyvönen, Mika; Rajala, Miika; Virtanen, Ari; Jankkari, Jari; Huhtala, Kalevi; Ritala, Risto.
In: IEEE Transactions on Intelligent Transportation Systems, Vol. 16, No. 6, 2015, p. 3403-3413.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - Assistive situation awareness system for mobile multimachine work environments
AU - Hyvönen, Mika
AU - Rajala, Miika
AU - Virtanen, Ari
AU - Jankkari, Jari
AU - Huhtala, Kalevi
AU - Ritala, Risto
PY - 2015
Y1 - 2015
N2 - Mobile multimachine work environments, in general, consist of varying types of machines driving across a site to complete a moving or manipulation task. As the view from the machines over the environment can be limited due to the structure of the machines, the environment, and the moved/manipulated items, there is a risk of collision between machines. In this paper, we propose a situation awareness system aimed as a driver/operator assistive system to enhance the safety and efficiency of multimachine work environments. The system consists of the pose estimation of the machines, the M2M communication based on IEEE 802.11p, the future pose prediction of the machines, and a graphical user interface. The system is designed to be general enough to be applicable in diverse work environments, which is most easily implemented as a retrofit for existing machines. In this paper, the implementation of the system presented is a proof of concept, and the focus is on how the overall system works in a real harbor environment during operation, ultimately aiming for the collision avoidance of harbor machines. The field tests show promising results, particularly regarding the applicability of the M2M communication technology in a very challenging and uncertain harbor environment.
AB - Mobile multimachine work environments, in general, consist of varying types of machines driving across a site to complete a moving or manipulation task. As the view from the machines over the environment can be limited due to the structure of the machines, the environment, and the moved/manipulated items, there is a risk of collision between machines. In this paper, we propose a situation awareness system aimed as a driver/operator assistive system to enhance the safety and efficiency of multimachine work environments. The system consists of the pose estimation of the machines, the M2M communication based on IEEE 802.11p, the future pose prediction of the machines, and a graphical user interface. The system is designed to be general enough to be applicable in diverse work environments, which is most easily implemented as a retrofit for existing machines. In this paper, the implementation of the system presented is a proof of concept, and the focus is on how the overall system works in a real harbor environment during operation, ultimately aiming for the collision avoidance of harbor machines. The field tests show promising results, particularly regarding the applicability of the M2M communication technology in a very challenging and uncertain harbor environment.
KW - situation awareness
KW - collision avoidance
KW - driver assistance
KW - multi-machine systems
U2 - 10.1109/TITS.2015.2453208
DO - 10.1109/TITS.2015.2453208
M3 - Article
VL - 16
SP - 3403
EP - 3413
JO - IEEE Transactions on Intelligent Transportation Systems
JF - IEEE Transactions on Intelligent Transportation Systems
SN - 1524-9050
IS - 6
ER -