Pedestrian trajectory prediction is one of the important tasks required for autonomous navigation and social robots in human environments. Previous studies focused on estimating forces among individual pedestrians. However, they did not consider groups pedestrians, which results over-collision avoidance problems. To address this problem, we present a Disentangled Multi-Relational Graph Convolut...

In metropolitan areas, a potentially large number of pedestrians depend either on transit or other modes for evacuation, or need to walk a distance to access their passenger cars. In the process of approaching some designated pick-up points for evacuation, the massive number of pedestrians may incur tremendous burden to the vehicles on the roadway network. Thus, an effective coordination betwee...

This work is an extension of PedCTM, an aggregate and transient cell transmission model for multidirectional pedestrian flows in which pedestrian characteristics are assumed to be homogeneous across the population considered. Critically, one fundamental diagram relating pedestrian speed and flow to local pedestrian density is employed across the entire population. This work extends the model to...

<p>Nowadays, many pedestrians are injured or killed in traffic accidents. As a result, several artificial vision solutions based on pedestrian detection have been developed to assist drivers and reduce the number of Most techniques work well sunny days provide accurate data. However, decreases dramatically rainy conditions. In this paper, new system (PDS) generative adversarial network (G...

Pedestrian detection has been an important problem for decades, given its relevance to a number of applications in robotics, including driver assistance systems, road scene understanding and surveillance systems. The two main practical requirements for fielding such systems are very high accuracy and real-time speed: we need pedestrian detectors that are accurate enough to be relied on and are ...

Demand for a Pedestrian Navigation Service (PNS) is on the rise. To provide a PNS for the transportation of vulnerable people, more detailed information of pedestrian facilities and obstructions should be included in Pedestrian Network Data (PND) used for PNS. Such data can be constructed efficiently by collecting GPS trajectories and integrating them with the existing PND. However, these two k...