Oleksandr Poliarus

About

Oleksandr Poliarus is a researcher in mobile autonomous robotics, specializing in sensor-based navigation and landmark detection for environments where GPS is unavailable. His work focuses on integrating camera-based vision systems and radar technologies to enable robots to identify and localize landmarks using color parameters, echo signals, and scanning antennas. Poliarus has developed methods to enhance landmark detection probability by analyzing abrupt changes in image color distribution and echo signal energy characteristics, as well as estimating landmark azimuth with a single scanning antenna. His most cited paper, "Detection of Landmarks by Autonomous Mobile Robots Using Camera-Based Sensors in Outdoor Environments" (2020), has garnered 11 citations, reflecting its relevance to outdoor robotic navigation. Additional contributions, including a 2018 study on echo signal-based landmark determination (7 citations) and a 2019 work on azimuth estimation (4 citations), demonstrate his systematic approach to overcoming GPS-denied challenges. Poliarus’s research bridges computer vision, radar, and ultrasonic sensing, offering practical solutions for autonomous robot navigation in complex outdoor settings.

Research Focus

Key Achievements

Top Papers

1. 1
   Detection of Landmarks by Autonomous Mobile Robots Using Camera-Based Sensors in Outdoor Environments

   11 citations · 2020
2. 2
   Determination of Landmarks by Mobile Robot's Vision System Based on Detecting Abrupt Changes of Echo Signals Parameters

   7 citations · 2018
3. 3
   Azimuth estimation of landmarks by mobile autonomous robots using one scanning antenna

   4 citations · 2019
4. 4
   The Methods of Radar Detection of Landmarks by Mobile Autonomous Robots

   2 citations · 2019
5. 5
   Detection of Landmarks by Mobile Autonomous Robots Based on Estimating the Color Parameters of the Surrounding Area

   2 citations · 2020

Key Collaborators

Contact & Links