Fusionplanner: A multi-task motion planner for mining trucks using multi-sensor fusion method
In recent years, significant achievements have been made in motion planning for intelligent
vehicles. However, as a typical unstructured environment, open-pit mining attracts limited …
vehicles. However, as a typical unstructured environment, open-pit mining attracts limited …
FusionPlanner: A multi-task motion planner for mining trucks via multi-sensor fusion
In recent years, significant achievements have been made in motion planning for intelligent
vehicles. However, as a typical unstructured environment, open-pit mining attracts limited …
vehicles. However, as a typical unstructured environment, open-pit mining attracts limited …
Decoupled Real-Time Trajectory Planning for Multiple Autonomous Mining Trucks in Unloading Areas
Cooperative trajectory planning for autonomous vehicles has garnered significant attention
in structured environments, but corresponding methodologies for unstructured environments …
in structured environments, but corresponding methodologies for unstructured environments …
Development of micro-UAV with integrated motion planning for open-cut mining surveillance
AA Doshi, AJ Postula, A Fletcher, SPN Singh - Microprocessors and …, 2015 - Elsevier
Small unmanned aerial vehicles called micro-UAVs are excellent examples of cyber-
physical systems which interact with complex and dynamic environments. The success of …
physical systems which interact with complex and dynamic environments. The success of …
Trajectory planning for autonomous mining trucks considering terrain constraints
There are many constraints to be considered to plan a safe and feasible trajectory for
autonomous mining trucks due to the rough terrain in open-pit mines. It is difficult to handle …
autonomous mining trucks due to the rough terrain in open-pit mines. It is difficult to handle …
Motion planning networks
Fast and efficient motion planning algorithms are crucial for many state-of-the-art robotics
applications such as self-driving cars. Existing motion planning methods become ineffective …
applications such as self-driving cars. Existing motion planning methods become ineffective …
Driving environment uncertainty-aware motion planning for autonomous vehicles
Autonomous vehicles require safe motion planning in uncertain environments, which are
largely caused by surrounding vehicles. In this paper, a driving environment uncertainty …
largely caused by surrounding vehicles. In this paper, a driving environment uncertainty …
A fuzzy logic-based adaptive dynamic window approach for path planning of automated driving mining truck
Y Lei, Y Wang, S Wu, X Gu, X Qin - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Automated Driving for open-pit mines has become a trend in recent years, and one of the
most challenging scenario is parking path planning based on the demand of the excavator …
most challenging scenario is parking path planning based on the demand of the excavator …
Hierarchical Perception-Improving for Decentralized Multi-Robot Motion Planning in Complex Scenarios
Y Jia, Y Song, B Xiong, J Cheng… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Multi-robot cooperative navigation is an important task, which has been widely studied in
many fields like logistics, transportation, and disaster rescue. However, most of the existing …
many fields like logistics, transportation, and disaster rescue. However, most of the existing …
Real-time global action planning for unmanned ground vehicle exploration in Three-dimensional spaces
X Zuo, J Zhou, F Yang, F Su, H Zhu, L Li - Expert Systems with Applications, 2023 - Elsevier
Autonomous exploration is a technical challenge in the field of mobile robots. In this paper,
the problem of autonomous unmanned ground vehicle (UGV) exploration is formulated as a …
the problem of autonomous unmanned ground vehicle (UGV) exploration is formulated as a …