ProfessorsProfessors of Monash UniversityLindsay Kleeman

Lindsay Kleeman

Monash University

H-index: 38

Oceania-Australia

About Lindsay Kleeman

Lindsay Kleeman, With an exceptional h-index of 38 and a recent h-index of 17 (since 2020), a distinguished researcher at Monash University, specializes in the field of Robotics, sensing and hardware acceleration.

His recent articles reflect a diverse array of research interests and contributions to the field:

High density 3D sensing using a nodding 2D LIDAR and reconfigurable mirrors

Rendering stable features improves sampling-based localisation with Neural radiance fields

Recursive Formulations for N Input Asynchronous First Come First Served Arbiters

Reducing the sim-to-real gap for event cameras

Lindsay Kleeman Information

University	Monash University
Position	___
Citations(all)	5543
Citations(since 2020)	1163
Cited By	4755
hIndex(all)	38
hIndex(since 2020)	17
i10Index(all)	91
i10Index(since 2020)	30
Email	Access Email
University Profile Page	Monash University
Google Scholar	View Google Scholar Profile

Lindsay Kleeman Skills & Research Interests

Robotics

sensing and hardware acceleration

Top articles of Lindsay Kleeman

Title	Journal	Author(s)	Publication Date
High density 3D sensing using a nodding 2D LIDAR and reconfigurable mirrors	Mechatronics	Anindya Harchowdhury Lindsay Kleeman Leena Vachhani	2023/6/1
Rendering stable features improves sampling-based localisation with Neural radiance fields	arXiv preprint arXiv:2309.11698	Boxuan Zhang Lindsay Kleeman Michael Burke	2023/9/21
Recursive Formulations for N Input Asynchronous First Come First Served Arbiters		Lindsay Kleeman	2020/5/17
Reducing the sim-to-real gap for event cameras		Timo Stoffregen Cedric Scheerlinck Davide Scaramuzza Tom Drummond Nick Barnes ...	2020