A survey of the state-of-the-art localization techniques and their potentials for autonomous vehicle applications
For an autonomous vehicle to operate safely and effectively, an accurate and robust
localization system is essential. While there are a variety of vehicle localization techniques …
localization system is essential. While there are a variety of vehicle localization techniques …
LPPTE: A lightweight privacy-preserving trust evaluation scheme for facilitating distributed data fusion in cooperative vehicular safety applications
Vehicular networks have tremendous potential to improve road safety, traffic efficiency, and
driving comfort, where cooperative vehicular safety applications are a significant branch. In …
driving comfort, where cooperative vehicular safety applications are a significant branch. In …
Automatic vehicle following under safety, comfort, and road geometry constraints
Automatic vehicle following and cruising under all road geometry characteristics (curvature,
slope, and superelevation) and traffic conditions without putting the vehicle occupants or …
slope, and superelevation) and traffic conditions without putting the vehicle occupants or …
Intelligent traffic management at intersections supported by V2V and V2I communications
This paper describes an intelligent traffic management system applied to road intersections,
namely round-about and crossroads. A microscopic traffic simulator was developed to study …
namely round-about and crossroads. A microscopic traffic simulator was developed to study …
GNSS multipath-resistant cooperative navigation in urban vehicular networks
H Ko, B Kim, SH Kong - IEEE Transactions on Vehicular …, 2015 - ieeexplore.ieee.org
Multipath delays and signal outages in urban environments have been the most difficult
problems in Global Navigation Satellite System (GNSS)-based cooperative vehicular …
problems in Global Navigation Satellite System (GNSS)-based cooperative vehicular …
Vehicle localization at an intersection using a traffic light map
C Wang, H Huang, Y Ji, B Wang… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Traditional vehicle localization methods use information from a GPS, inertial navigation, and
an odometer, but a GPS is often limited by availability in urban areas for its sensitivity to …
an odometer, but a GPS is often limited by availability in urban areas for its sensitivity to …
Fusing LIDAR, camera and semantic information: A context-based approach for pedestrian detection
C Premebida, U Nunes - The International Journal of …, 2013 - journals.sagepub.com
In this work, a context-based multisensor system, applied to pedestrian detection in urban
environments, is presented. The proposed system comprises three main processing …
environments, is presented. The proposed system comprises three main processing …
Effect of the uncertainty level of vehicle-position information on the stability and safety of the car-following process
J Zhang, G Lu, H Yu, Y Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In recent years, the adaptive cruise control (ACC) system has become widely adopted. The
vehicle-positioning system plays an important role in automotive platoon driving and can …
vehicle-positioning system plays an important role in automotive platoon driving and can …
Intelligent traffic management at intersections: Legacy mode for vehicles not equipped with V2V and V2I communications
LC Bento, R Parafita, S Santos… - 16th International IEEE …, 2013 - ieeexplore.ieee.org
This paper describes a legacy algorithm for an intelligent traffic management system applied
to automatic regulation of traffic at intersections. The application of the legacy algorithm …
to automatic regulation of traffic at intersections. The application of the legacy algorithm …
A study of the environmental impacts of intelligent automated vehicle control at intersections via V2V and V2I communications
This article presents a novel intersection traffic management system for automated vehicles
and quantifies its impact on fuel consumption and greenhouse gas emissions of CO2 …
and quantifies its impact on fuel consumption and greenhouse gas emissions of CO2 …