Behavioral intention prediction in driving scenes: A survey
In driving scenes, road agents often engage in frequent interaction and strive to understand
their surroundings. Ego-agent (each road agent itself) predicts what behavior will be …
their surroundings. Ego-agent (each road agent itself) predicts what behavior will be …
Vln bert: A recurrent vision-and-language bert for navigation
Accuracy of many visiolinguistic tasks has benefited significantly from the application of
vision-and-language (V&L) BERT. However, its application for the task of vision-and …
vision-and-language (V&L) BERT. However, its application for the task of vision-and …
Vision-based traffic accident detection and anticipation: A survey
Traffic accident detection and anticipation is an obstinate road safety problem and
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …
A stochastic conditioning scheme for diverse human motion prediction
Human motion prediction, the task of predicting future 3D human poses given a sequence of
observed ones, has been mostly treated as a deterministic problem. However, human …
observed ones, has been mostly treated as a deterministic problem. However, human …
Abductive Ego-View Accident Video Understanding for Safe Driving Perception
We present MM-AU a novel dataset for Multi-Modal Accident video Understanding. MM-AU
contains 11727 in-the-wild ego-view accident videos each with temporally aligned text …
contains 11727 in-the-wild ego-view accident videos each with temporally aligned text …
Bifold and semantic reasoning for pedestrian behavior prediction
Pedestrian behavior prediction is one of the major challenges for intelligent driving systems.
Pedestrians often exhibit complex behaviors influenced by various contextual elements. To …
Pedestrians often exhibit complex behaviors influenced by various contextual elements. To …
Trep: Transformer-based evidential prediction for pedestrian intention with uncertainty
With rapid development in hardware (sensors and processors) and AI algorithms, automated
driving techniques have entered the public's daily life and achieved great success in …
driving techniques have entered the public's daily life and achieved great success in …
Deep learning for vision-based prediction: A survey
A Rasouli - arXiv preprint arXiv:2007.00095, 2020 - arxiv.org
Vision-based prediction algorithms have a wide range of applications including autonomous
driving, surveillance, human-robot interaction, weather prediction. The objective of this …
driving, surveillance, human-robot interaction, weather prediction. The objective of this …
Multi-modal hybrid architecture for pedestrian action prediction
Pedestrian behavior prediction is one of the major challenges for intelligent driving systems
in urban environments. Pedestrians often exhibit a wide range of behaviors and adequate …
in urban environments. Pedestrians often exhibit a wide range of behaviors and adequate …
Review of graph-based hazardous event detection methods for autonomous driving systems
Automated and autonomous vehicles are often required to operate in complex road
environments with potential hazards that may lead to hazardous events causing injury or …
environments with potential hazards that may lead to hazardous events causing injury or …