Decision-making driven by driver intelligence and environment reasoning for high-level autonomous vehicles: a survey
Autonomous vehicle (AV) is expected to reshape the future transportation system, and its
decision-making is one of the most critical modules. Many current decision-making modules …
decision-making is one of the most critical modules. Many current decision-making modules …
An adaptive weighting strategy for multisensor integrated navigation in urban areas
R Sun, Y Dai, Q Cheng - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Integration of global navigation satellite systems (GNSS) with other sensors, such as inertial
measurement units (IMU) and visual sensors, has been widely used to improve the …
measurement units (IMU) and visual sensors, has been widely used to improve the …
IC-GVINS: A robust, real-time, INS-centric GNSS-visual-inertial navigation system
X Niu, H Tang, T Zhang, J Fan… - IEEE robotics and …, 2022 - ieeexplore.ieee.org
Visual navigation systems are susceptible to complex environments, while inertial
navigation systems (INS) are not affected by external factors. Hence, we present IC-GVINS …
navigation systems (INS) are not affected by external factors. Hence, we present IC-GVINS …
GPS-free collaborative elliptical circumnavigation control for multiple non-holonomic vehicles
X Shao, S Li, J Zhang, F Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper investigates a novel GPS-free collaborative elliptical circumnavigation control for
multiple non-holonomic vehicles, where two realistic issues—achieving a higher efficiency …
multiple non-holonomic vehicles, where two realistic issues—achieving a higher efficiency …
Tightly-coupled GNSS-aided visual-inertial localization
A navigation system which can output drift-free global trajectory estimation with local
consistency holds great potential for autonomous vehicles and mobile devices. We propose …
consistency holds great potential for autonomous vehicles and mobile devices. We propose …
Driving behavior modeling and characteristic learning for human-like decision-making in highway
C Xu, W Zhao, C Wang, T Cui… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
To make autonomous vehicles consider driver's personalized characteristics, this paper
proposes an integrated model and learning combined (IMLC) algorithm to realize human …
proposes an integrated model and learning combined (IMLC) algorithm to realize human …
Satellite image based cross-view localization for autonomous vehicle
Existing spatial localization techniques for au-tonomous vehicles mostly use a pre-built 3D-
HD map, often constructed using a survey-grade 3D mapping vehicle, which is not only …
HD map, often constructed using a survey-grade 3D mapping vehicle, which is not only …
M2C-GVIO: motion manifold constraint aided GNSS-visual-inertial odometry for ground vehicles
Abstract Visual-Inertial Odometry (VIO) has been developed from Simultaneous Localization
and Mapping (SLAM) as a low-cost and versatile sensor fusion approach and attracted …
and Mapping (SLAM) as a low-cost and versatile sensor fusion approach and attracted …
GIVE: A tightly coupled RTK-inertial–visual state estimator for robust and precise positioning
Continuous and reliable high-precision positioning in a wide area is an important task for
autonomous driving. In this article, we present GIVE, a nonlinear optimization-based global …
autonomous driving. In this article, we present GIVE, a nonlinear optimization-based global …
Rate-splitting multiple access-based satellite–vehicular communication system: A noncooperative game theoretical approach
Rate-Splitting Multiple Access (RSMA) has recently found favor in high-mobility scenarios
due to the benefits of relaxing the accuracy of Channel State Information at the Transmitter …
due to the benefits of relaxing the accuracy of Channel State Information at the Transmitter …