Deep learning-based vehicle behavior prediction for autonomous driving applications: A review
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 …
nearby vehicles based on the current and past observations of the surrounding environment …
Human motion trajectory prediction: A survey
With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …
of such systems to perceive, understand, and anticipate human behavior becomes …
Recursive social behavior graph for trajectory prediction
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 …
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
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 …
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …
Deep learning-based activity-aware 3D human motion trajectory prediction in construction
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 …
significance in the construction sector. This task presents significant challenges due to the …
Three steps to multimodal trajectory prediction: Modality clustering, classification and synthesis
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 …
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
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 …
has attracted increasing attention in the vehicle industry. This task is challenging because …
Predicting the future from first person (egocentric) vision: A survey
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 …
interact with the environment, which can be beneficial for the analysis of human behaviour …
Human trajectory prediction with momentary observation
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 …
status, which is a crucial step for many autonomous systems such as self-driving cars and …
Modality exploration, retrieval and adaptation for trajectory prediction
Predicting future trajectories of dynamic agents is inherently riddled with uncertainty. Given a
certain historical observation, there are multiple plausible future movements people can …
certain historical observation, there are multiple plausible future movements people can …