O-snap: Optimal snap** of odometry trajectories for route identification

R Wang, M Veloso, S Seshan - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
An increasing number of wearable and mobile devices are capable of automatically sensing
and recording rich information about the surrounding environment. To make use of such …

An adaptive localization system for image storage and localization latency requirements

J Mao, X Hu, M Milford - Robotics and Autonomous Systems, 2018 - Elsevier
Fast and efficient global localization is a critical problem for autonomous systems. Existing
sequence-based visual place recognition requires a storage-intensive image database for …

[PDF][PDF] Indoor Trajectory Identification: Snap** with Uncertainty.

R Shroff, Y Zha, R Wang, MM Veloso… - AAAI Workshop: AI for …, 2015 - cdn.aaai.org
We consider the problem of indoor human trajectory identification using odometry data from
smartphone sensors. Given a segmented trajectory, a simplified map of the environment …

[NAVOD][C] SRINIVASAN SESHAN

S Seshan II - Communication Review, 2014