… and simulating pedestrian trajectories when interacting with an autonomous vehicle in a …
of pedestrian trajectories in various interaction scenarios. To simulate interactions between …

… pedestrian trajectory prediction in presence of vehicles that … for pedestrian-vehicle interaction
(compared with pedestrian… future trajectory is a crucial skill for autonomous vehicles that …

… Abstract—Connected and autonomous vehicles (CAV) is a … More precisely, pedestrian
needs to understand the intention … trajectory control of the CAV that matches with the pedestrian …

… pedestrian to unobserved pedestrians. In this work, we propose a novel pedestrian trajectory
… of a predictive model during autonomous vehicle navigation. The proposed GCNN-based …

… Traditional approaches to pedestrian trajectory modelling and recent data-driven trends are
discussed in this chapter. Modern data-driven approaches require novel large-scale datasets…

… 2) Trajectory Matching: A pedestrian trajectory Ω is represented using the ordered tuples Ω
= ((… pedestrian state ωi consists of the lateral and longitudinal positions of the pedestrian and …

… vehicle speeds, but at higher speeds, the AVs must be able to predict pedestrian trajectories
… Nahavandi, “Towards trusted autonomous vehicles from vulnerable road users perspective,…

… Autonomous vehicles (AV)s have become a trending topic … to predict trajectories and intentions
for pedestrians and vehicles. … the trajectories and intentions of vehicles and pedestrians. …

… address the problem of operating an autonomous vehicle in highly crowded environments.
… future multimodal pedestrian trajectories incorporating interactions between pedestrians into …

… simulated pedestrians which are not representative of the rich and varied behavior of real
pedestrians [33] – either the pedestrian trajectories are handcrafted, or the pedestrian models …