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Joseph P. Lazzaro

dblp:358/9262 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2024
0009-0004-8911-9928ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Wireless sensing and localization · 56% Physical-layer communications · 44%
Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications
free-space optical communication
0.922024
Catch Me If You Can: Demonstrating Laser Tethering with Highly Mobile Targets · MobiCom 2023
Catch Me If You Can: Laser Tethering with Highly Mobile Targets · NSDI 2024
Wireless sensing and localization › tracking › human tracking
mobile user tracking
0.812024
Catch Me If You Can: Laser Tethering with Highly Mobile Targets · NSDI 2024
Physical-layer communications › optical communication
laser communication
0.212024
Catch Me If You Can: Laser Tethering with Highly Mobile Targets · NSDI 2024
Virtual and augmented reality › immersive display
VR headset
0.212023
Catch Me If You Can: Demonstrating Laser Tethering with Highly Mobile Targets · MobiCom 2023

Methods — techniques the papers use, named apart from their topics

predictive steering · 1.3optical design · 1.3
YearPublicationVenuePosition
2024 Catch Me If You Can: Laser Tethering with Highly Mobile Targets
Charles J. Carver, Hadleigh Schwartz, Qijia Shao, Nicholas Shade, Joseph P. Lazzaro, Jifeng Liu, Eric R. Fossum
NSDI5
2023 Catch Me If You Can: Demonstrating Laser Tethering with Highly Mobile Targets
abstract
Conventional wisdom holds that laser-based systems cannot handle mobility due to the strong directionality of laser light. We challenge this belief by presenting Lasertag, a generic system framework that tightly integrates laser steering with optical tracking to maintain laser connectivity with high-velocity targets. Lasertag creates a constantly connected, laser-based tether between the Lasertag core unit and a remote target, irrespective of the target's movement. Key elements of Lasertag include (1) a novel optical design that superimposes the optical paths of a steerable laser beam and an image sensor, (2) a lightweight optical tracking mechanism for passive retroreflective markers, (3) an automated mapping method to translate scene points to laser steering commands, and (4) a predictive steering algorithm that overcomes limited image sensor frame rates and laser steering delays to quadruple the steering rate up to 151 Hz. We demonstrate Lasertag's tethering capabilty with various mobile targets, such as a VR headset worn during active game play, a remotely-controlled moving robot, and more. Lasertag paves the way for laser applications in highly mobile settings.
Charles J. Carver, Hadleigh Schwartz, Qijia Shao, Nicholas Shade, Joseph P. Lazzaro, Jifeng Liu, Eric R. Fossum
MobiCom5