Mr. Zach D. Jeffries Profile

Zach D. Jeffries

SPIE Involvement:

Author

Area of Expertise:

Robotics , Autonomous Systems , ROS

Websites:

Personal Website | Company Website

Profile Summary

PhD Student specializing in algorithms and controls pertaining to autonomous robots and vehicles for structured and unstructured environments.

As a part of Jeremy Bos' Lab and Michigan Tech Robotics, our missions involve everything from perception and fusion to multivariate planning and deployment and testing.

Publications (4)

Proceedings Article | 13 June 2023 Presentation + Paper

Rut depth detection for automated trafficability assessment

Ian Mattson, Zach Jeffries, Casey Majhor, Jeremy Bos

Proceedings Volume 12540, 125400N (2023) https://doi.org/10.1117/12.2664429

KEYWORDS: Sensors, LIDAR, Cameras, Point clouds, Soil science, Autonomous vehicles, Unmanned vehicles, Error analysis, Robotics

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SPIE Journal Paper | 5 January 2023 Open Access

Toward open benchmark tests for automotive lidars, year 1: static range error, accuracy, and precision

Zach Jeffries, Jeremy Bos, Paul McManamon, Charles Kershner, Akhil Kurup

OE, Vol. 62, Issue 03, 031211, (January 2023) https://doi.org/10.1117/12.10.1117/1.OE.62.3.031211

KEYWORDS: LIDAR, Target detection, Rain, Optical engineering, Standards development, Point clouds, Fiber optic gyroscopes, Manufacturing, Calibration, Design and modelling

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Proceedings Article | 23 April 2021 Presentation + Paper

The Michigan Tech autonomous winter driving data set: year two

Jeremy Bos, Akhil Kurup, Derek Chopp, Zach Jeffries

Proceedings Volume 11748, 1174809 (2021) https://doi.org/10.1117/12.2585864

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Proceedings Article | 12 April 2021 Presentation + Paper

MUONS path planning performance for a vehicle with complex suspension in Unreal

Zach Jeffries, Casey Majhor, Jake Carter, Sam Kysar, Jeremy Bos

Proceedings Volume 11748, 117480G (2021) https://doi.org/10.1117/12.2585773

KEYWORDS: Muons, Monte Carlo methods, Sensors, Sensing systems, Optimization (mathematics), Environmental sensing, Defense and security, Clouds, Systems modeling, Robotics

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