A tutorial on internet of behaviors: Concept, architecture, technology, applications, and challenges
Q Zhao, G Li, J Cai, MC Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
In his blogs of 2012, Dr. Göte Nyman coined Internet of Behaviors (IoB). In his idea, people's
behaviors are very good predictors of their needs, and hence technology companies can …
behaviors are very good predictors of their needs, and hence technology companies can …
Pedestrian models for autonomous driving Part I: low-level models, from sensing to tracking
Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
Context-based pedestrian path prediction
We present a novel Dynamic Bayesian Network for pedestrian path prediction in the
intelligent vehicle domain. The model incorporates the pedestrian situational awareness …
intelligent vehicle domain. The model incorporates the pedestrian situational awareness …
Looking at humans in the age of self-driving and highly automated vehicles
E Ohn-Bar, MM Trivedi - IEEE Transactions on Intelligent …, 2016 - ieeexplore.ieee.org
This paper highlights the role of humans in the next generation of driver assistance and
intelligent vehicles. Understanding, modeling, and predicting human agents are discussed …
intelligent vehicles. Understanding, modeling, and predicting human agents are discussed …
Context-based detection of pedestrian crossing intention for autonomous driving in urban environments
F Schneemann, P Heinemann - 2016 IEEE/RSJ International …, 2016 - ieeexplore.ieee.org
This paper focuses on the detection of pedestrian crossing intention to improve the situation
awareness for autonomous driving in urban environments. A new definition of pedestrian …
awareness for autonomous driving in urban environments. A new definition of pedestrian …
Trajectory analysis and prediction for improved pedestrian safety: Integrated framework and evaluations
A Møgelmose, MM Trivedi… - 2015 IEEE intelligent …, 2015 - ieeexplore.ieee.org
This paper presents a monocular and purely vision based pedestrian trajectory tracking and
prediction framework with integrated map-based hazard inference. In Advanced Driver …
prediction framework with integrated map-based hazard inference. In Advanced Driver …
Appearance based pedestrians' head pose and body orientation estimation using deep learning
Pedestrian orientation recognition, including head and body directions, is a demanding task
in human activity-recognition scenarios. While moving in one direction, a pedestrian may be …
in human activity-recognition scenarios. While moving in one direction, a pedestrian may be …
Pedestrian intention recognition using latent-dynamic conditional random fields
AT Schulz, R Stiefelhagen - 2015 IEEE Intelligent Vehicles …, 2015 - ieeexplore.ieee.org
We present a novel approach for pedestrian intention recognition for advanced video-based
driver assistance systems using a Latent-dynamic Conditional Random Field model. The …
driver assistance systems using a Latent-dynamic Conditional Random Field model. The …
Learning to forecast pedestrian intention from pose dynamics
O Ghori, R Mackowiak, M Bautista… - 2018 IEEE Intelligent …, 2018 - ieeexplore.ieee.org
For an autonomous car, the ability to foresee a humans action is very useful for mitigating
the risk of a possible collision. To humans this pedestrian intention foresight comes naturally …
the risk of a possible collision. To humans this pedestrian intention foresight comes naturally …
A probabilistic framework for joint pedestrian head and body orientation estimation
We present a probabilistic framework for the joint estimation of pedestrian head and body
orientation from a mobile stereo vision platform. For both head and body parts, we convert …
orientation from a mobile stereo vision platform. For both head and body parts, we convert …