When intelligent transportation systems sensing meets edge computing: Vision and challenges
The widespread use of mobile devices and sensors has motivated data-driven applications
that can leverage the power of big data to benefit many aspects of our daily life, such as …
that can leverage the power of big data to benefit many aspects of our daily life, such as …
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 …
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 …
Real-time driving risk assessment using deep learning with XGBoost
Traffic crashes typically occur in a few seconds and real-time prediction can significantly
benefit traffic safety management and the development of safety countermeasures. This …
benefit traffic safety management and the development of safety countermeasures. This …
Efficient fusion decision system for predicting road crash events: a comparative simulator study for imbalance class handling
Road crash events are a fact of life. Although significant progress have been made in
adopting machine learning techniques for analyzing road crashes, there has been limited …
adopting machine learning techniques for analyzing road crashes, there has been limited …
Two-stream video-based deep learning model for crashes and near-crashes
The use of videos for effective crash and near-crash prediction can significantly enhance the
development of safety countermeasures and emergency response. This paper presents a …
development of safety countermeasures and emergency response. This paper presents a …
Exploring event-driven dynamic context for accident scene segmentation
The robustness of semantic segmentation on edge cases of traffic scene is a vital factor for
the safety of intelligent transportation. However, most of the critical scenes of traffic accidents …
the safety of intelligent transportation. However, most of the critical scenes of traffic accidents …
[HTML][HTML] Extracting dashcam telemetry data for predicting energy use of electric vehicles
GWM Hind, EEF Ballantyne, T Stincescu, R Zhao… - Transportation Research …, 2024 - Elsevier
Prior to the acquisition of an electric vehicle, pre-evaluation of vehicle energy use is
desirable to assess whether the intrinsic vehicle electrical storage capability is satisfactory …
desirable to assess whether the intrinsic vehicle electrical storage capability is satisfactory …
CRS: A privacy-preserving two-layered distributed machine learning framework for IoV
R Liu, J Pan - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Nowadays, vehicles can provide many valuable data (such as the videos recorded by
dashcams) for analytical model building. Integrating vehicular ad hoc networks with the …
dashcams) for analytical model building. Integrating vehicular ad hoc networks with the …
Attention r-cnn for accident detection
This paper addresses accident detection where we not only detect objects with classes, but
also recognize their characteristic properties. More specifically, we aim at simultaneously …
also recognize their characteristic properties. More specifically, we aim at simultaneously …