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Found 6 papers, 0 papers with code
Graph Based Deep Reinforcement Learning Aided by Transformers for Multi-Agent Cooperation
Mission planning for a fleet of cooperative autonomous drones in applications that involve serving distributed target points, such as disaster response, environmental monitoring, and surveillance, is challenging, especially under partial observability, limited communication range, and uncertain environments.
Adaptive Data Transport Mechanism for UAV Surveillance Missions in Lossy Environments
Unmanned Aerial Vehicles (UAVs) play an increasingly critical role in Intelligence, Surveillance, and Reconnaissance (ISR) missions such as border patrolling and criminal detection, thanks to their ability to access remote areas and transmit real-time imagery to processing servers.
Enhanced Cooperative Perception for Autonomous Vehicles Using Imperfect Communication
To validate our approach, we used the CARLA simulator to create a dataset of annotated videos for different driving scenarios where pedestrian detection is challenging for an AV with compromised vision.
Learning on Bandwidth Constrained Multi-Source Data with MIMO-inspired DPP MAP Inference
A determinant-preserved sparse representation of selected samples is used to perform sample precoding in local sources to be processed by DPP.
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples
However, the number of selected samples is restricted to the rank of the kernel matrix implied by the dimensionality of data samples.
Fast Key Points Detection and Matching for Tree-Structured Images
The proposed algorithm is applicable to a variety of tree-structured image matching, but our focus is on dendrites, recently-developed visual identifiers.
