| Paper Abstract and Keywords |
| Presentation |
2023-10-10 15:35
[Poster Presentation]
Adaptation of Fast Beam Tracking for Vehicles in General Road Environment
Sojin Ozawa, Tokio Ikuta, Sasaki Yuki (Tokyo Univ. of science), Ryo Iwaki, Jin Nakazato, Manabu Tsukada (Tokyo Univ), Hideya So (SIT), Kazuki Maruta (Tokyo Univ. of science) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Cooperative automated driving is seen as one of the key technologies for smart city/mobility.
High-definition sensor information equivalent to Gbps, such as LiDAR, circulates through the network or between vehicles.
To implement such applications, there is a need to wirelessly connect the network and fast-moving vehicles.
This paper proposes a millimeter-wave fast beam tracking algorithm for moving vehicles, considering a general road environment.
Focusing on the fact that vehicle movement is constrained on roads, horizontal and vertical beam directions are determined based on obtainable driving direction and road shape.
In addition, we perform a two-pattern beam selection for the vehicle's forward and rearward directions to estimate the beam tracking speed.
Through simulations using SUMO, which emulated movement on general roads, we verified that the proposed method operates effectively and confirmed its superiority over other beam selection approaches. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Millimeter wave / Beam tracking / Cooperative automated driving / Velocity estimation / / / / |
| Reference Info. |
IEICE Tech. Rep. |
| Paper # |
|
| Date of Issue |
|
| ISSN |
|
| Download PDF |
|