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Autonomous driving: cognitive construction and situation understanding
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 …
research of autonomous driving, the most widely adopted technique is to use a basic …
Human motion prediction for intelligent construction: A review
Intelligent construction is an important construction trend. With the growing number of
intelligent autonomous systems implemented in the construction area, understanding and …
intelligent autonomous systems implemented in the construction area, understanding and …
Robot companion: A social-force based approach with human awareness-navigation in crowded environments
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 …
urban settings should have. We present a novel robot companion approach based on the so …
Intent-aware long-term prediction of pedestrian motion
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 …
jump-Markov processes with their goal a hidden variable. Assuming approximately rational …
Human-aware navigation planner for diverse human-robot interaction contexts
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 …
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
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 …
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
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 …
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 …
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 …
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
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 …
where people and objects are moving simultaneously while a robot is navigating. Avoiding …