most citedMulti-FEAT: Multi-Feature Edge Alignment for Targetless Camera-LiDAR Calibration

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

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7 papers

eess.SP20261 cited

Multi-FEAT: Multi-Feature Edge Alignment for Targetless Camera-LiDAR Calibration

Bichi Zhang, Holger Caesar, Raj Thilak Rajan

Multi-agent systems, e.g., automobiles and UAVs (Unmanned Ariel Vehicles), rely on the precision of onboard sensors to accurately perceive their environment, which in turn depends…

cs.LG2026

Consensus-based Recursive Multi-Output Gaussian Process

Yogesh Prasanna Kumar Rao, Tamas Keviczky, Raj Thilak Rajan

Multi-output Gaussian Processes provide principled uncertainty-aware learning of vector-valued fields but are difficult to deploy in large-scale, distributed, and streaming setting…

eess.SY2026

Multicluster Design and Control of Large-Scale Affine Formations

Zhonggang Li, Geert Leus, Raj Thilak Rajan

Conventional affine formation control (AFC) empowers a network of agents with flexible but collective motions - a potential which has not yet been exploited for large-scale swarms.…

eess.SP2026

A Covariance Matching Approach to Graph Topology Identification

Yongsheng Han, Raj Thilak Rajan, Geert Leus

Graph topology identification (GTI) is a central challenge in networked systems, where the underlying structure is often hidden, yet nodal data are available. Conventional solution…

eess.SY2025

Fast Multiagent Formation Stabilization with Sparse Universally Rigid Frameworks

Zhonggang Li, Geert Leus, Raj Thilak Rajan

Affine formation control (AFC) is a distributed networked control system that has recently received increasing attention in various applications. AFC is typically achieved using a…

eess.SP2025

Geometry-Aware Edge-State Tracking for Resilient Affine Formation Control

Zhonggang Li, Raj Thilak Rajan

Affine formation control (AFC) is a subset of formation control methods that enables coordinated multiagent movement while preserving affine relationships, and has recently gained…