[HTML][HTML] Applications of LiDAR in agriculture and future research directions
S Debnath, M Paul, T Debnath - Journal of Imaging, 2023 - mdpi.com
Light detection and ranging (LiDAR) sensors have accrued an ever-increasing presence in
the agricultural sector due to their non-destructive mode of capturing data. LiDAR sensors …
the agricultural sector due to their non-destructive mode of capturing data. LiDAR sensors …
[HTML][HTML] Vision beyond the field-of-view: A collaborative perception system to improve safety of intelligent cyber-physical systems
Cyber-physical systems (CPSs) that interact with each other to achieve common goals are
known as collaborative CPSs. Collaborative CPSs can achieve complex goals that …
known as collaborative CPSs. Collaborative CPSs can achieve complex goals that …
High-accuracy NLOS identification based on random forest and high-precision positioning on 60 GHz millimeter wave
Q Niu, W Shi, Y Xu, W Wen - China Communications, 2023 - ieeexplore.ieee.org
60 GHz millimeter wave (mmWave) system provides extremely high time resolution and
multipath components (MPC) separation and has great potential to achieve high precision in …
multipath components (MPC) separation and has great potential to achieve high precision in …
map-A*: A Goal Oriented Optimum Path Finding Algorithm for Differential Drive Movement
R Chaudhuri, S Deb, PP Das - 2022 5th International …, 2022 - ieeexplore.ieee.org
Cognitive intelligent path searching procedures are evolving as significant perspective in
both research and application level of WRN (Wheeled Robot Navigation). The …
both research and application level of WRN (Wheeled Robot Navigation). The …
An improved Random Sample Consensus algorithm for visual indoor positioning based on angle difference
Y Guo, Z Miao - 2023 2nd International Conference on Optical …, 2023 - ieeexplore.ieee.org
The Random Sample Consensus (RANSAC) algorithm is a classical parameter estimation
and model fitting algorithm, which suffers from poor accuracy and robustness in removing …
and model fitting algorithm, which suffers from poor accuracy and robustness in removing …