TY - GEN
T1 - Deploying While Exploring
T2 - 4th International Conference on Artificial Intelligence, Robotics, and Communication, ICAIRC 2024
AU - Jin, Zhe
AU - Jia, Yifei
AU - Huang, Rui
AU - Zhang, Chengyang
AU - Jiang, Chaoyang
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In multi-vehicle collaborative exploration of unknown environments, it is still a great challenge to maintain the communication between multiple vehicles. In this paper, we present a greedy-based communication beacon deployment method to address this challenge. The proposed method involves each vehicle performing LiDAR-inertial odometry, hierarchical grid-based exploration, and greedy-based beacon deployment. Each time a vehicle reaching the communication boundary, beacon candidate positions are selected. A candidate location that can cover the most uncommunicated area is selected as beacon placement points. Through simulation experiments, the effectiveness of the proposed method is demonstrated, showing that it can dynamically deploy beacons to maintain communication within the explored area while minimizing the number of beacons used.
AB - In multi-vehicle collaborative exploration of unknown environments, it is still a great challenge to maintain the communication between multiple vehicles. In this paper, we present a greedy-based communication beacon deployment method to address this challenge. The proposed method involves each vehicle performing LiDAR-inertial odometry, hierarchical grid-based exploration, and greedy-based beacon deployment. Each time a vehicle reaching the communication boundary, beacon candidate positions are selected. A candidate location that can cover the most uncommunicated area is selected as beacon placement points. Through simulation experiments, the effectiveness of the proposed method is demonstrated, showing that it can dynamically deploy beacons to maintain communication within the explored area while minimizing the number of beacons used.
KW - Beacon deployment
KW - greedy algorithm
KW - multi-vehicle system
KW - sensor networks
KW - unknown environments
UR - http://www.scopus.com/inward/record.url?scp=105000635057&partnerID=8YFLogxK
U2 - 10.1109/ICAIRC64177.2024.10899957
DO - 10.1109/ICAIRC64177.2024.10899957
M3 - Conference contribution
AN - SCOPUS:105000635057
T3 - 2024 4th International Conference on Artificial Intelligence, Robotics, and Communication, ICAIRC 2024
SP - 646
EP - 649
BT - 2024 4th International Conference on Artificial Intelligence, Robotics, and Communication, ICAIRC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 December 2024 through 29 December 2024
ER -