Research: Robot Navigation,
Perception and Localization,
Lidar Mapping, Computer Vision
Address: 5000 Forbes Ave, NSH #2205
Pittsburgh, PA, 15213
Please try our 3D Model Generator website to build maps from your laser data. We support Velodyne scanners now and will expand to other lidar brands. Check out our sample results and a video.
My recent work has been focusing on state estimation and mapping problems combining laser, vision, and inertial sensors. Latest results can be found with Velodyne (Video) and Hokuyo (Video) scanners.
Curriculum Vitae (CV).
J. Zhang and S. Singh. Low-drift and Real-time Lidar Odometry and Mapping. Autonomous Robots. Conditionally accepted. (Video)
J. Zhang, M. Kaess, and S. Singh. On Degeneracy of Optimization-based State Estimation Problems. IEEE Intl. Conf. on Robotics and Automation (ICRA). Stockholm, Sweden, May 2016.
J. Zhang, M. Kaess and S. Singh. A Real-time Method for Depth Enhanced Visual Odometry. Autonomous Robots. 2015. (PDF) (Video)
J. Zhang and S. Singh. Visual-Inertial Combined Odometry System for Aerial Vehicles. Journal of Field Roboticse.
vol. 32, no. 8, pp. 1043–1055, 2015. (PDF) (Video)
J. Zhang and S. Singh. Visual-lidar Odometry and Mapping: Low-drift, Robust, and Fast. IEEE Intl. Conf. on Robotics and Automation (ICRA). Seattle, WA, May 2015. (PDF) (Video)
J. Zhang, M. Kaess, and S. Singh. Real-time Depth Enhanced Monocular Odometry. IEEE/RSJ Intl. Conf. on
Intelligent Robots and Systems (IROS). Chicago,
IL, Sept. 2014. (PDF)
J. Zhang and S. Singh. LOAM: Lidar Odometry and Mapping in Real-time. Robotics:
Science and Systems Conference (RSS). Berkeley, CA, July 2014. (PDF)
J. Zhang, A. Chambers, S.Maeta, M. Bergerman, and S. Singh. 3D Perception
for Accurate Row Following: Methodology and Results. IEEE/RSJ Intl. Conf. on
Intelligent Robots and Systems (IROS). Tokyo, Japan, Nov. 2013. (PDF)
Research Videos (YouTube), Photo Arts (Google+)