Cooperative ISAC with direct localization and rate-splitting multiple access communication: A pareto optimization framework
P Gao, L Lian, J Yu - IEEE Journal on Selected Areas in …, 2023 - ieeexplore.ieee.org
… tradeoffs and formulate two constrained optimization problems to search for the Pareto
boundary. In Section IV, we propose two cooperative design algorithms to solve the constrained …
boundary. In Section IV, we propose two cooperative design algorithms to solve the constrained …
PVStereo: Pyramid voting module for end-to-end self-supervised stereo matching
… of our self-supervised stereo matching approach on the KITTI Stereo benchmarks and
our … by traditional optimization-based approaches. Specifically, the adoption of the GRU-based …
our … by traditional optimization-based approaches. Specifically, the adoption of the GRU-based …
Sgnet: Semantics guided deep stereo matching
… cost volume based deep stereo matching … based optimization and semantic smooth priori
into disparity computation, respectively. Based on the observation that if two pixels in the stereo …
into disparity computation, respectively. Based on the observation that if two pixels in the stereo …
A novel airspace planning algorithm for cooperative target localization
Y Mao, Y Zhu, Z Tang, Z Chen - Electronics, 2022 - mdpi.com
… Planning an optimal airspace for passive transducers is the key … optimal layout algorithm
for the cooperative platform in the space based on the geometrical relationship of cooperative …
for the cooperative platform in the space based on the geometrical relationship of cooperative …
Robust cooperative communication optimization for multi-UAV-aided vehicular networks
… maximization, which can optimize the aerial-ground cooperative system performance as
much … with the conventional EE optimization (Conventional EEO) based on the widely-adopted …
much … with the conventional EE optimization (Conventional EEO) based on the widely-adopted …
Cost minimization for cooperative computation framework in MEC networks
In this paper, a cooperative task computation framework exploits the computation resource
in user equipments (UEs) to accomplish more tasks meanwhile minimizes the power …
in user equipments (UEs) to accomplish more tasks meanwhile minimizes the power …
Swarm-slam: Sparse decentralized collaborative simultaneous localization and mapping framework for multi-robot systems
PY Lajoie, G Beltrame - IEEE Robotics and Automation Letters, 2023 - ieeexplore.ieee.org
Collaborative Simultaneous Localization And Mapping (C-SLAM) is a vital component for
successful multi-robot operations in environments without an external positioning system, such …
successful multi-robot operations in environments without an external positioning system, such …
High-accuracy recognition and localization of moving targets in an indoor environment using binocular stereo vision
J Ding, Z Yan, X We - ISPRS International Journal of Geo-Information, 2021 - mdpi.com
… technologies and need the cooperation. Sometimes, moving … The optimal matching of the
same image on different pyramid … The stereo matching algorithm in this paper achieved high …
same image on different pyramid … The stereo matching algorithm in this paper achieved high …
Improvement of trajectory tracking by robot manipulator based on a new co-operative optimization algorithm
… The main problem of these optimization algorithms is issue of trapping at a local optimum. …
suggest a developed optimization algorithm, termed the butterfly optimization algorithm (BOA), …
suggest a developed optimization algorithm, termed the butterfly optimization algorithm (BOA), …
Multirobot cooperative localization based on visible light positioning and odometer
… cooperative localization system using two mobile robots show that the multirobot cooperative
VO-MRCL system can realize cooperative … optimize the collaborative localization algorithm. …
VO-MRCL system can realize cooperative … optimize the collaborative localization algorithm. …