Autonomous driving: cognitive construction and situation understanding

S Chen, Z Jian, Y Huang, Y Chen, Z Zhou… - Science China …, 2019 - Springer
Autonomous vehicle is a kind of typical complex artificial intelligence system. In current
research of autonomous driving, the most widely adopted technique is to use a basic …

Human motion prediction for intelligent construction: A review

X **a, T Zhou, J Du, N Li - Automation in Construction, 2022 - Elsevier
Intelligent construction is an important construction trend. With the growing number of
intelligent autonomous systems implemented in the construction area, understanding and …

Robot companion: A social-force based approach with human awareness-navigation in crowded environments

G Ferrer, A Garrell, A Sanfeliu - 2013 IEEE/RSJ International …, 2013 - ieeexplore.ieee.org
Robots accompanying humans is one of the core capacities every service robot deployed in
urban settings should have. We present a novel robot companion approach based on the so …

Intent-aware long-term prediction of pedestrian motion

V Karasev, A Ayvaci, B Heisele… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
We present a method to predict long-term motion of pedestrians, modeling their behavior as
jump-Markov processes with their goal a hidden variable. Assuming approximately rational …

Human-aware navigation planner for diverse human-robot interaction contexts

PT Singamaneni, A Favier… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
As more robots are being deployed into human environments, a human-aware navigation
planner needs to handle multiple contexts that occur in indoor and outdoor environments. In …

Robot social-aware navigation framework to accompany people walking side-by-side

G Ferrer, AG Zulueta, FH Cotarelo, A Sanfeliu - Autonomous robots, 2017 - Springer
We present a novel robot social-aware navigation framework to walk side-by-side with
people in crowded urban areas in a safety and natural way. The new system includes the …

Spatio-temporal interaction aware and trajectory distribution aware graph convolution network for pedestrian multimodal trajectory prediction

R Wang, X Song, Z Hu, Y Cui - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Pedestrian trajectory prediction is a critical research area with numerous domains, eg, blind
navigation, autonomous driving systems, and service robots. There exist two challenges in …

Pedestrian collision risk assessment based on state estimation and motion prediction

L Zhang, K Yuan, H Chu, Y Huang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Active pedestrian collision avoidance (APCA) systems can significantly reduce road injuries
and thus have attracted considerable attention from both the automobile and the …

Interactive model predictive control for robot navigation in dense crowds

Y Chen, F Zhao, Y Lou - IEEE Transactions on Systems, Man …, 2021 - ieeexplore.ieee.org
A robot navigating in dense crowds should react to the motion of nearby pedestrians.
However, it could lead to unsafe, inefficient, and illegible robot motions. This article presents …

Proactive kinodynamic planning using the extended social force model and human motion prediction in urban environments

G Ferrer, A Sanfeliu - 2014 IEEE/RSJ International Conference …, 2014 - ieeexplore.ieee.org
This paper presents a novel approach for robot navigation in crowded urban environments
where people and objects are moving simultaneously while a robot is navigating. Avoiding …