Road Congestion Detection Based on Trajectory Stay-Place Clustering

Acoustic Sensor Based Road Congestion Detection in Developing Regions

Road congestion is a common problem worldwide. Intelligent Transport Systems (ITS), in developed countries, seek to alleviate this problem using technology. But such ITS are mostly inapplicable in developing regions due to high cost and assumptions of orderly traffic. Efforts in developing regions have been few. We seek to develop low-cost ITS techniques to detect road congestion which will wor...

Shape-based Trajectory Clustering

Automatic trajectory classification has countless applications, ranging from the natural sciences, such as zoology and meteorology, to urban planning and sports analysis, and has generated great interest and investigation. The purpose of this work is to propose and test new methods for trajectory clustering, based on shape, rather than spatial position, as is the case with previous methods. The...

Trajectory Regression on Road Networks

This paper addresses the task of trajectory cost prediction, a new learning task for trajectories. The goal of this task is to predict the cost for an arbitrary (possibly unknown) trajectory, based on a set of previous trajectory-cost pairs. A typical example of this task is travel-time prediction on road networks. The main technical challenge here is to infer the costs of trajectories includin...

Sampling-based Sub-Trajectory Clustering

Loop Closure Detection on a Suburban Road Network using a Continuous Appearance-based Trajectory

This paper presents a novel technique for performing SLAM along a continuous trajectory of appearance. Derived from components of FastSLAM and FAB-MAP, the new system dubbed Continuous Appearance-based Trajectory SLAM (CAT-SLAM) augments appearancebased place recognition with particle-filter based ‘pose filtering’ within a probabilistic framework, without calculating global feature geometry or ...