Peng Tan's research while affiliated with Chang'an University and other places
What is this page?
This page lists the scientific contributions of an author, who either does not have a ResearchGate profile, or has not yet added these contributions to their profile.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
Publications (6)
Rollers, integral to road construction, are undergoing rapid advancements in unmanned functionality. To address the specific challenge of unmanned compaction within tunnels, we propose a vision-based odometry system for unmanned rollers. This system solves the problem of tunnel localization under conditions of low texture and high noise. We evaluat...
Citations
... Currently, research has been conducted on optimal trajectory planning based on metaheuristic algorithms. Liu et al. [11] preprocessed the operation trajectory data of a driver, used cubic splines to parameterize the trajectory, and used the non-dominated sorting genetic algorithm (NSGA-II) to obtain efficient and stable operation trajectories. Huang et al. [12] used the NSGA-II to optimize and solve multi-objective time-jerk optimal trajectories. ...
... On the other hand, YAO et team [24] generated continuous excavation trajectories employing PINN. Furthermore, ZHAO et al. [25] also discovered that, under optimally planned trajectories, the fluctuation of excavation angles in unmanned excavators is greater than that observed during manual operations. ...