Attention for vision-based assistive and automated driving: A review of algorithms and datasets
I Kotseruba, JK Tsotsos - IEEE transactions on intelligent …, 2022 - ieeexplore.ieee.org
Driving safety has been a concern since the first cars appeared on the streets. Driver
inattention has been singled out as a major cause of accidents early on. This is hardly …
inattention has been singled out as a major cause of accidents early on. This is hardly …
A review on emergency vehicle management for intelligent transportation systems
Designing an Emergency Vehicle Management (EVM) system that can provide competent
services with the shortest possible delay is challenging. This is primarily due to the highly …
services with the shortest possible delay is challenging. This is primarily due to the highly …
Uncertainty-based traffic accident anticipation with spatio-temporal relational learning
Traffic accident anticipation aims to predict accidents from dashcam videos as early as
possible, which is critical to safety-guaranteed self-driving systems. With cluttered traffic …
possible, which is critical to safety-guaranteed self-driving systems. With cluttered traffic …
Towards knowledge-driven autonomous driving
This paper explores the emerging knowledge-driven autonomous driving technologies. Our
investigation highlights the limitations of current autonomous driving systems, in particular …
investigation highlights the limitations of current autonomous driving systems, in particular …
DADA: Driver attention prediction in driving accident scenarios
Driver attention prediction is becoming an essential research problem in human-like driving
systems. This work makes an attempt to predict the d river a ttention in d riving a ccident …
systems. This work makes an attempt to predict the d river a ttention in d riving a ccident …
Traffic accident detection via self-supervised consistency learning in driving scenarios
With the rapid progress of autonomous driving and advanced driver assistance systems,
there are growing efforts to promote their safety in natural driving scenarios, especially for …
there are growing efforts to promote their safety in natural driving scenarios, especially for …
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 …
DRIVE: Deep reinforced accident anticipation with visual explanation
Traffic accident anticipation aims to accurately and promptly predict the occurrence of a
future accident from dashcam videos, which is vital for a safety-guaranteed self-driving …
future accident from dashcam videos, which is vital for a safety-guaranteed self-driving …
Driver attention prediction based on convolution and transformers
In recent years, studying how drivers allocate their attention while driving is critical in
achieving human-like cognitive ability for autonomous vehicles. And it has been an active …
achieving human-like cognitive ability for autonomous vehicles. And it has been an active …
Saliency heat-map as visual attention for autonomous driving using generative adversarial network (GAN)
The ability to sense and understanding the driving environment is a key technology for
ADAS and autonomous driving. Human drivers have to pay more visual attention to …
ADAS and autonomous driving. Human drivers have to pay more visual attention to …