A survey on vision-based driver distraction analysis
Motor vehicle crashes are great threats to our life, which may result in numerous fatalities, as
well as tremendous economic and societal costs. Driver inattention, either distraction or …
well as tremendous economic and societal costs. Driver inattention, either distraction or …
Looking at humans in the age of self-driving and highly automated vehicles
This paper highlights the role of humans in the next generation of driver assistance and
intelligent vehicles. Understanding, modeling, and predicting human agents are discussed …
intelligent vehicles. Understanding, modeling, and predicting human agents are discussed …
Occlusion gesture recognition based on improved SSD
S Liao, G Li, H Wu, D Jiang, Y Liu, J Yun… - Concurrency and …, 2021 - Wiley Online Library
Gesture recognition has always been a research hotspot in the field of human‐computer
interaction. Its purpose is to realize the natural interaction with the machine by recognizing …
interaction. Its purpose is to realize the natural interaction with the machine by recognizing …
Looking at the driver/rider in autonomous vehicles to predict take-over readiness
Continuous estimation the driver's take-over readiness is critical for safe and timely transfer
of control during the failure modes of autonomous vehicles. In this article, we propose a data …
of control during the failure modes of autonomous vehicles. In this article, we propose a data …
Classifying pedestrian actions in advance using predicted video of urban driving scenes
Fig. 1. Generating predictions of a future for a pedestrian attempting to cross the street. We
pick out two key frames from the (a) input sequence and the (b) ground truth sequence, 16 …
pick out two key frames from the (a) input sequence and the (b) ground truth sequence, 16 …
Mdad: A multimodal and multiview in-vehicle driver action dataset
Abstract “Driver's distraction is deadly!”. Due to its crucial role in saving lives, driver action
recognition is an important and trending topic in the field of computer vision. However, a very …
recognition is an important and trending topic in the field of computer vision. However, a very …
Collaborative learning for hand and object reconstruction with attention-guided graph convolution
Estimating the pose and shape of hands and objects under interaction finds numerous
applications including augmented and virtual reality. Existing approaches for hand and …
applications including augmented and virtual reality. Existing approaches for hand and …
Safe driving: Driver action recognition using surf keypoints
Driver distraction is one of the main factors of fatal road traffic injuries. According to the
national Highway Traffic Safety Administration (NHTSA), in USA, 3450 are killed by …
national Highway Traffic Safety Administration (NHTSA), in USA, 3450 are killed by …
Handynet: A one-stop solution to detect, segment, localize & analyze driver hands
Tasks related to human hands have long been part of the computer vision community.
Hands being the primary actuators for humans, convey a lot about activities and intents, in …
Hands being the primary actuators for humans, convey a lot about activities and intents, in …
Predicting take-over time for autonomous driving with real-world data: Robust data augmentation, models, and evaluation
Understanding occupant-vehicle interactions by modeling control transitions is important to
ensure safe approaches to passenger vehicle automation. Models which contain contextual …
ensure safe approaches to passenger vehicle automation. Models which contain contextual …