most citedTrajectory Planning for UAV-Based Smart Farming Using Imitation-Based Triple Deep Q-Learning

1 citations · 1 across the 7 of their papers we have counts for

collaborators

8 papers

cs.RO2026

To Route or to Adapt? Multi-Expert Diffusion Planners in Unseen Regions

Yun Li, Ehsan Javanmardi, Simon Thompson +7

Diffusion trajectory planners with domain-specific experts face a practical question in unseen regions: can they rely on selecting among existing experts, or must the planner itsel…

cs.CV2026

CARE: Camera-Residual Reserves for First Sightings in Adaptive LiDAR Sensing

Jiachen Gong, Yun Li, Ehsan Javanmardi +2

Adaptive LiDAR scanning concentrates a limited sensing budget on regions of interest predicted from past object tracks, lowering data volume in autonomous driving while maintaining…

cs.CV2026

LoViF 2026 The First Challenge on Holistic Quality Assessment for 4D World Model (PhyScore)

Wei Luo, Yiting Lu, Xin Li +32

This paper reports on the LoViF 2026 PhyScore challenge, a competition on holistic quality assessment of world-model-generated videos across both 2D and 4D generation settings. The…

cs.CV2026

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results

Shuhong Liu, Chenyu Bao, Ziteng Cui +103

This paper presents a comprehensive review of the NTIRE 2026 3D Restoration and Reconstruction (3DRR) Challenge, detailing the proposed methods and results. The challenge seeks to…

cs.RO2026

An Open-Source Modular Benchmark for Diffusion-Based Motion Planning in Closed-Loop Autonomous Driving

Yun Li, Simon Thompson, Yidu Zhang +2

Diffusion-based motion planners have achieved state-of-the-art results on benchmarks such as nuPlan, yet their evaluation within closed-loop production autonomous driving stacks re…

cs.LG2025★ 1 cited

Trajectory Planning for UAV-Based Smart Farming Using Imitation-Based Triple Deep Q-Learning

Wencan Mao, Quanxi Zhou, Tomas Couso Coddou +3

Unmanned aerial vehicles (UAVs) have emerged as a promising auxiliary platform for smart agriculture, capable of simultaneously performing weed detection, recognition, and data col…

cs.LG2025

EIA-SEC: Improved Actor-Critic Framework for Multi-UAV Collaborative Control in Smart Agriculture

Quanxi Zhou, Wencan Mao, Yilei Liang +3

The widespread application of wireless communication technology has promoted the development of smart agriculture, where unmanned aerial vehicles (UAVs) play a multifunctional role…

cs.LG2025

FM-EAC: Feature Model-based Enhanced Actor-Critic for Multi-Task Control in Dynamic Environments

Quanxi Zhou, Wencan Mao, Manabu Tsukada +2

Model-based reinforcement learning (MBRL) and model-free reinforcement learning (MFRL) evolve along distinct paths but converge in the design of Dyna-Q [1]. However, modern RL meth…