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Yunwoo Lee

8 accepted papers

2026

DMVC-Tracker: Distributed Multi-Agent Trajectory Planning for Target Tracking Using Dynamic Buffered Voronoi and Inter-Visibility Cells

ICRA 2026poster

This letter presents a distributed trajectory planning method for multi-agent aerial tracking. The proposed method uses a Dynamic Buffered Voronoi Cell (DBVC) and a Dynamic Inter-Visibility Cell (DIVC) to formulate the distributed trajectory generation. Specifically, the DBVC and the DIVC are time-v…

2026

QP Chaser: Polynomial Trajectory Generation for Autonomous Aerial Tracking (I)

ICRA 2026poster

Maintaining the visibility of the target is one of the major objectives of aerial tracking missions. This paper proposes a target-visible trajectory planning pipeline using quadratic programming (QP). Our approach can handle various tracking settings, including 1) single- and dual-target following a…

Cited by 0Scholar
2025

DMVC-Tracker: Distributed Multi-Agent Trajectory Planning for Target Tracking Using Dynamic Buffered Voronoi and Inter-Visibility Cells

RA-L 2025

This letter presents a distributed trajectory planning method for multi-agent aerial tracking. The proposed method uses a Dynamic Buffered Voronoi Cell (DBVC) and a Dynamic Inter-Visibility Cell (DIVC) to formulate the distributed trajectory generation. Specifically, the DBVC and the DIVC are time-v

Cited by 7SourceScholar
2024

BPMP-Tracker: A Versatile Aerial Target Tracker Using Bernstein Polynomial Motion Primitives

RA-L 2024

This letter presents a versatile trajectory planning pipeline for aerial tracking. The proposed tracker is capable of handling various chasing settings such as complex unstructured environments, crowded dynamic obstacles and multiple-target following. Among the entire pipeline, we focus on developin

Cited by 2SourceScholar
2024

Mono-Camera-Only Target Chasing for a Drone in a Dense Environment by Cross-Modal Learning

RA-L 2024

Chasing a dynamic target in a dense environment is one of the challenging applications of autonomous drones. The task requires multi-modal data, such as RGB and depth, to accomplish safe and robust maneuver. However, using different types of modalities can be difficult due to the limited capacity of

Cited by 4SourceScholar
2020

Integrated Motion Planner for Real-time Aerial Videography with a Drone in a Dense Environment

ICRA 2020poster

This work suggests an integrated approach for a drone (or multirotor) to perform an autonomous videography task in a 3-D obstacle environment by following a moving object. The proposed system includes 1) a target motion prediction module which can be applied to dense environments and 2) a hierarchic…

Cited by 50SourcecodeScholar