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Yifeng Niu

3 accepted papers

2025

PI-WAN: A Physics-Informed Wind-Adaptive Network for Quadrotor Dynamics Prediction in Unknown Environments

IROS 2025

Accurate dynamics modeling is essential for quadrotors to achieve precise trajectory tracking in various applications. Traditional physical knowledge-driven modeling methods face substantial limitations in unknown environments characterized by variable payloads, wind disturbances, and external pertu

Cited by 0SourceScholar
2025

Reducing Scene Graph Generation Parameters Towards UAV Understanding of Structured Environments

IROS 2025

Scene graph generation (SGG) is a structured approach to understanding real-world scenes with complex relations, which can enhance UAV autonomy in unfamiliar environments. However, SGG typically has numerous model parameters that require considerable computational resources. This paper proposes a re

Cited by 1SourcecodeScholar
2024

TICOP: Time-Critical Coordinated Planning for Fixed-Wing UAVs in Unknown Unstructured Environments

RA-L 2024

Safe coordination of fixed-wing UAVs in unstructured environments poses challenges due to the intricate coupling of UAV cooperation, obstacle avoidance, and motion constraints. One task is time-critical coordination, which means that all UAVs can safely reach their destinations simultaneously. Exist

Cited by 3SourceScholar