Pedestrian trajectory prediction in pedestrian-vehicle mixed environments: A systematic review
M Golchoubian, M Ghafurian… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Planning an autonomous vehicle's (AV) path in a space shared with pedestrians requires
reasoning about pedestrians' future trajectories. A practical pedestrian trajectory prediction …
reasoning about pedestrians' future trajectories. A practical pedestrian trajectory prediction …
Public transport for smart cities: Recent innovations and future challenges
The idea of a smart city is one that utilises Internet-of-Things (IoT) technologies and data
analytics to optimise the efficiency of city operations and services, so as to provide a high …
analytics to optimise the efficiency of city operations and services, so as to provide a high …
Social Interaction‐Aware Dynamical Models and Decision‐Making for Autonomous Vehicles
Interaction‐aware autonomous driving (IAAD) is a rapidly growing field of research that
focuses on the development of autonomous vehicles (AVs) that are capable of interacting …
focuses on the development of autonomous vehicles (AVs) that are capable of interacting …
Shared space multi-modal traffic modeling using LSTM networks with repulsion map and an intention-based multi-loss function
EP Kampitakis, P Fafoutellis, GM Oprea… - … Research Part C …, 2023 - Elsevier
Shared space is an innovative, yet controversial concept of traffic regulation that features the
coexistence of different types of road users (cars, motorcycles, bicycles, pedestrians, etc.) …
coexistence of different types of road users (cars, motorcycles, bicycles, pedestrians, etc.) …
Long-short term spatio-temporal aggregation for trajectory prediction
C Yang, Z Pei - IEEE Transactions on Intelligent Transportation …, 2023 - ieeexplore.ieee.org
Pedestrian trajectory prediction in crowd scenes plays a significant role in intelligent
transportation systems. The main challenges are manifested in learning motion patterns and …
transportation systems. The main challenges are manifested in learning motion patterns and …
Humanizing autonomous vehicle driving: Understanding, modeling and impact assessment
The advent of autonomous vehicles brings major changes in the transportation systems
influencing the infrastructure design, the network performance, as well as driving functions …
influencing the infrastructure design, the network performance, as well as driving functions …
[PDF][PDF] Explaining human interactions on the road requires large-scale integration of psychological theory
Interaction between road users is a societally important special case of human interaction,
and a better understanding of such interactions is a key missing enabler for wide …
and a better understanding of such interactions is a key missing enabler for wide …
Explaining human interactions on the road by large-scale integration of computational psychological theory
When humans share space in road traffic, as drivers or as vulnerable road users, they draw
on their full range of communicative and interactive capabilities. Much remains unknown …
on their full range of communicative and interactive capabilities. Much remains unknown …
Driver-pedestrian interactions at unsignalized crossings are not in line with the Nash equilibrium
Recent developments in vehicle automation require simulations of human-robot interactions
in the road traffic context, which can be achieved by computational models of human …
in the road traffic context, which can be achieved by computational models of human …
Review on vision-based control using artificial intelligence in autonomous ground vehicle
In today's fast-paced world, everything around us is automatized and customized as per our
needs. Many researchers forecast that by 2025 we'll be seeing approximately 8 million …
needs. Many researchers forecast that by 2025 we'll be seeing approximately 8 million …