Multimodal trajectory predictions for autonomous driving using deep convolutional networks
Autonomous driving presents one of the largest problems that the robotics and artificial
intelligence communities are facing at the moment, both in terms of difficulty and potential …
intelligence communities are facing at the moment, both in terms of difficulty and potential …
Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study
Although car-following behavior is the core component of microscopic traffic simulation,
intelligent transportation systems, and advanced driver assistance systems, the adequacy of …
intelligent transportation systems, and advanced driver assistance systems, the adequacy of …
Testing advanced driver assistance systems using multi-objective search and neural networks
Recent years have seen a proliferation of complex Advanced Driver Assistance Systems
(ADAS), in particular, for use in autonomous cars. These systems consist of sensors and …
(ADAS), in particular, for use in autonomous cars. These systems consist of sensors and …
Companion-technology: an overview
Companion-technology is an emerging field of cross-disciplinary research. It aims at
developing technical systems that appear as “Companions” to their users. They serve as co …
developing technical systems that appear as “Companions” to their users. They serve as co …
Research issues in smart vehicles and elderly drivers: a literature review
This article reviewed both studies on general smart car technologies and human–computer
interaction (HCI)/human–vehicle interaction studies that were published in journals and …
interaction (HCI)/human–vehicle interaction studies that were published in journals and …
Towards next-generation vehicles featuring the vehicle intelligence
YF Payalan, MA Guvensan - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
Safe driving and minimizing the number of casualties are the main motivations of
researchers and car companies for decades. They also care very much on saving fuel …
researchers and car companies for decades. They also care very much on saving fuel …
Adaptive driver modelling in ADAS to improve user acceptance: A study using naturalistic data
Accurate understanding of driver behaviour is crucial for future Advanced Driver Assistance
Systems (ADAS) and autonomous driving. For user acceptance it is important that ADAS …
Systems (ADAS) and autonomous driving. For user acceptance it is important that ADAS …
Field operational test of advanced driver assistance systems in typical Chinese road conditions: The influence of driver gender, age and aggression
Abstract Although various Advanced Driver Assistance Systems (ADASs) have been
developed to assist drivers, their performances and driver acceptances in China have not …
developed to assist drivers, their performances and driver acceptances in China have not …
Position paper on the challenges posed by modern applications to cyber-physical systems theory
Cyber-physical systems theory offers a powerful framework for modeling, analyzing, and
designing real engineering systems integrating communication, control, and computation …
designing real engineering systems integrating communication, control, and computation …
The automotive ontology: managing knowledge inside the vehicle and sharing it between cars
Cars have been increasingly equipped with technology, meeting the demand of people for
safety, connectivity, and comfort. Upcoming HMIs provide access to in-car systems and web …
safety, connectivity, and comfort. Upcoming HMIs provide access to in-car systems and web …