Drone navigation
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Benchmarks
University-1652
Most implemented
University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization
Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching
Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations
FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation
OmniStereo: Real-time Omnidireactional Depth Estimation with Multiview Fisheye Cameras
Learning Generalizable Policy for Obstacle-Aware Autonomous Drone Racing
Papers
Exp2VLA: Enabling Vision-Language-Action for Drone Navigation from Expert Demonstrations
Vision-language-action (VLA) models open a new path toward intuitive robot control by directly linking perception, language, and action in a single end-to-end framework. Yet for UAVs, practical adoption remains difficult…
Reinforcement LearningDrone navigationAutonomous UAV Navigation for Individual Wildlife Re-Identification
Reliable individual re-identification (re-ID) of wildlife is essential for population monitoring, behavioral tracking, and conservation policy evaluation, yet large-scale data collection remains labor-intensive, relying …
Object DetectionDrone navigationAirDreamer: Generalist Drone Navigation with World Models
Navigating a drone in unseen and cluttered environments requires reliable generalization to unseen scene layouts and understanding of environmental structure relative to the robot's capabilities. Previous methods, which …
Drone navigationWeather-Robust Cross-View Geo-Localization via Prototype-Based Semantic Part Discovery
Cross-view geo-localization (CVGL), which matches an oblique drone view to a geo-referenced satellite tile, has emerged as a key alternative for autonomous drone navigation when GNSS signals are jammed, spoofed, or unava…
Drone navigationDynamic-TD3: A Novel Algorithm for UAV Path Planning with Dynamic Obstacle Trajectory Prediction
Deep reinforcement learning (DRL) finds extensive application in autonomous drone navigation within complex, high-risk environments. However, its practical deployment faces a safety-exploration dilemma: soft penalty mech…
Reinforcement LearningTrajectory PredictionCollision AvoidanceDrone navigationInstance-level Visual Active Tracking with Occlusion-Aware Planning
Visual Active Tracking (VAT) aims to control cameras to follow a target in 3D space, which is critical for applications like drone navigation and security surveillance. However, it faces two key bottlenecks in real-world…
Drone navigation