English

Lidar based 3D Tracking and State Estimation of Dynamic Objects

Robotics 2023-04-05 v1 Computer Vision and Pattern Recognition

Abstract

State estimation of oncoming vehicles: Earlier research has been based on determining states like position, velocity, orientation , angular velocity, etc of ego-vehicle. Our approach focuses on estimating the states of non-ego vehicles which is crucial for Motion planning and decision-making. Dynamic Scene Based Localization: Our project will work on dynamic scenes like moving ego (self) and non-ego vehicles. Previous methods were focused on static environments.

Keywords

Cite

@article{arxiv.2304.01396,
  title  = {Lidar based 3D Tracking and State Estimation of Dynamic Objects},
  author = {Patil Shubham Suresh and Gautham Narayan Narasimhan},
  journal= {arXiv preprint arXiv:2304.01396},
  year   = {2023}
}

Comments

6 pages, 12 figures, Carnegie Mellon University work

R2 v1 2026-06-28T09:47:56.167Z