Deep learning-based vehicle behavior prediction for autonomous driving applications: A review

S Mozaffari, OY Al-Jarrah, M Dianati… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Behaviour prediction function of an autonomous vehicle predicts the future states of the
nearby vehicles based on the current and past observations of the surrounding environment …

Human motion trajectory prediction: A survey

A Rudenko, L Palmieri, M Herman… - … Journal of Robotics …, 2020 - journals.sagepub.com
With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …

Recursive social behavior graph for trajectory prediction

J Sun, Q Jiang, C Lu - … of the IEEE/CVF conference on …, 2020 - openaccess.thecvf.com
Social interaction is an important topic in human trajectory prediction to generate plausible
paths. In this paper, we present a novel insight of group-based social interaction model to …

Levels of explainable artificial intelligence for human-aligned conversational explanations

R Dazeley, P Vamplew, C Foale, C Young, S Aryal… - Artificial Intelligence, 2021 - Elsevier
Over the last few years there has been rapid research growth into eXplainable Artificial
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …

Deep learning-based activity-aware 3D human motion trajectory prediction in construction

MY Heravi, Y Jang, I Jeong, S Sarkar - Expert Systems with Applications, 2024 - Elsevier
Predicting human motion is a critical requirement in various applications, with particular
significance in the construction sector. This task presents significant challenges due to the …

Three steps to multimodal trajectory prediction: Modality clustering, classification and synthesis

J Sun, Y Li, HS Fang, C Lu - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Multimodal prediction results are essential for trajectory prediction task as there is no single
correct answer for the future. Previous frameworks can be divided into three categories …

Pedestrian behavior prediction using deep learning methods for urban scenarios: A review

C Zhang, C Berger - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
The prediction of pedestrian behavior is essential for automated driving in urban traffic and
has attracted increasing attention in the vehicle industry. This task is challenging because …

Predicting the future from first person (egocentric) vision: A survey

I Rodin, A Furnari, D Mavroeidis… - Computer Vision and …, 2021 - Elsevier
Egocentric videos can bring a lot of information about how humans perceive the world and
interact with the environment, which can be beneficial for the analysis of human behaviour …

Human trajectory prediction with momentary observation

J Sun, Y Li, L Chai, HS Fang… - Proceedings of the …, 2022 - openaccess.thecvf.com
Human trajectory prediction task aims to analyze human future movements given their past
status, which is a crucial step for many autonomous systems such as self-driving cars and …

Modality exploration, retrieval and adaptation for trajectory prediction

J Sun, Y Li, L Chai, C Lu - IEEE Transactions on Pattern …, 2023 - ieeexplore.ieee.org
Predicting future trajectories of dynamic agents is inherently riddled with uncertainty. Given a
certain historical observation, there are multiple plausible future movements people can …