Capability Statement

Executive Summary

A product of multiple collaborations within Western Michigan University’s EEAV Lab, Revision Autonomy officially formed in March of 2020. Dr. Zachary Asher (owner and CEO) and the other founding members witnessed the burgeoning market need related to safe driving software, and took action. With the explosion of technology, software systems, and autonomous driving capabilities, the desire for vehicle control software has never been greater. To that extent, this company is developing guidance programs aimed at directing a vehicle during adverse conditions. Safety is key, and the aim is to make a product that helps drivers remain as safe as possible on the road, all while benefiting from the saved time, money, and stress that results from fewer accidents and collisions. Furthermore, Dr. Asher is both professor at WMU and director of the EEAV Lab. His enterprise therefore possesses a special connection with many academic and advising resources.

DUNS Number: 118707234
CAGE Code: 9C11C7
POC: Zachary Asher – (719) 359-2180
Email: zach.asher@revisionautonomy.com
Website: https://www.revisionautonomy.com/
Address: 4717 Campus Dr., Kalamazoo, MI 49008

Core Competencies

  • Software Validation and Production
  • Winter Weather Drive Testing
  • Data Collection and Testing
  • Software Algorithm R&D
  • Vehicle Component Integration
  • Mechanical and Software Engineering
  • Novel and Exploratory Research
  • Collaboration Connections (Universities, industry, etc.)

Collaborations

2020 – 2023: Aurrigo

  • Past experimental project collaborator (shuttle vehicle) and continued relationship

2022 – 2023: SBDC, Starting Gate, and Michigan Smart Zones

  • Business development organizations that define

2020 – Present: Western Michigan University

  • Work conducted in collaboration with WMU’s EEAV Lab

Differentiators

  • Effective product operation in winter conditions (unlike nearly all competitors)
  • First-mover advantage through snow-focused and software-specific offering
  • Purpose-built algorithms based on fundamental research in computer vision, AI, and systems engineering
  • Product does not require extensive deep neural network training

NAICS / SIC Codes

  • 541511 – Computer program or software development, custom
  • 541715 – Engineering research and development laboratories or service

Certifications

  • 2021 – ISO 26262 – Automotive Functional Safety Professional
Type
Title
File Size
Download
Tire Track Identification: A Method for Drivable Region Detection in Conditions of Snow-Occluded Lane Lines, Nick Goberville, Parth Kadav, Zachary Asher, 2022 SAE World Congress Experience
1.6 MB
Download
Vehicle Lateral Offset Estimation Using Infrastructure Information for Reduced Compute Load, S Sharma, JF Rojas, AR Ekti, CR Wang, Z Asher, R Meyer, SAE Technical Paper
1.9 MB
Download
Quantitative Resilience Assessment of GPS, IMU, and LiDAR Sensor Fusion for Vehicle Localization Using Resilience Engineering Theory, Johan Fanas Rojas, Parth Kadav, Nicolas Brown, Rick Meyer, Thomas Bradley, Zachary D. Asher, 2023 SAE World Congress
1.5 MB
Download
Road Snow Coverage Estimation Using Camera and Weather Infrastructure Sensor Inputs, Parth Kadav, Nicholas A Goberville, Kyle Prins, Amanda Siems-Anderson, Curtis Walker, Farhang Motallebiaraghi, Kyle Carow, Johan Fanas Rojas, Guan Yue Hong and Zachary Asher, 2023 SAE World Congress Experience
1.0 MB
Download
Projecting Lane Lines from Proxy High-Definition Maps for Automated Vehicle Perception in Road Occlusion Scenarios, Kyle Carow, Parth Kadav, Pritesh Patil, Johan F. Rojas, and Zachary Asher, 2023 SAE World Congress Experience
1.7 MB
Download
Tire Track Identification: Application of U-Net Deep Learning Model for Drivable Region Detection in Snow Occluded Conditions, Parth Kadav, Nicholas Goberville, Farhang Motallebiaraghi, Alvis Fong, and Zachary D. Asher, Intelligent Transportation Systems World Congress
626.6 KB
Download
Development and Evaluation of Chip-Enabled Raised Pavement Markers for Lane Line Detection, Sachin Sharma, Richard T. Meyer, Ali Riza Ekti, Johan F. Rojas, Nicolas E. Brown, Zachary D. Asher, David Pesin, Chieh (Ross) Wang, Shean Huff and Tim J. Laclair, IEEE Sensors
1.7 MB
Download
Snow Coverage Estimation Using Camera Data for Automated Driving Applications, Nicholas A. Goberville, Kyle R. Prins, Parth Kadav, Curtis L. Walker, Amanda R. Siems-Anderson, Zachary D. Asher, Transportation Research Interdisciplinary Perspectives
4.0 MB
Download

Revision Autonomy

Address:
4717 Campus Dr, Suite #100
Kalamazoo, MI 49008

Phone:
719-359-2180