Hybrid visual and inertial position and orientation estimation based on known urban 3D models. - Nicolas Antigny; Myriam Servières; Valérie Renaudin (IPIN, 2016)

Pedestrian track estimation with handheld monocular camera and inertial-magnetic sensor for urban augmented reality. - Nicolas Antigny; Myriam Servières; Valérie Renaudin (IPIN, 2017)

An Inertial, Magnetic and Vision Based Trusted Pose Estimation for AR and 3D Data Qualification on Long Urban Pedestrian Displacements. - Nicolas Antigny; Myriam Servières; Valérie Renaudin (ISMAR Adjunct, 2017)

Continuous Pose Estimation for Urban Pedestrian Mobility Applications on Smart-Handheld Devices. - Nicolas Antigny; Myriam Servières; Valérie Renaudin (IPIN, 2018)

Estimation continue de la pose d'un équipement tenu en main par fusion des données visio-inertielles pour les applications de navigation piétonne en milieux urbains. (Continuous pose estimation of handheld device by fusion of visio-inertial data for pedestrian navigation applications in urban environments). - Nicolas Antigny (2018)

Solving Monocular Visual Odometry Scale Factor with Adaptive Step Length Estimates for Pedestrians Using Handheld Devices. - Nicolas Antigny; Hideaki Uchiyama; Myriam Servières; Valérie Renaudin; Diego Thomas; Rin-Ichiro Taniguchi (Sensors, 2019)

Visual and Visual-Inertial SLAM: State of the Art, Classification, and Experimental Benchmarking. - Myriam Servières; Valérie Renaudin; Alexis Dupuis; Nicolas Antigny (J. Sensors, 2021)