Lane change strategies for autonomous vehicles: a deep reinforcement learning approach based on transformer

G Li, Y Qiu, Y Yang, Z Li, S Li, W Chu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
End-to-end approaches are one of the most promising solutions for autonomous vehicles
(AVs) decision-making. However, the deployment of these technologies is usually …

Sea-surface object detection based on electro-optical sensors: A review

H Lyu, Z Shao, T Cheng, Y Yin… - IEEE Intelligent …, 2022 - ieeexplore.ieee.org
Sea-surface object detection is critical for navigation safety of autonomous ships. Electro-
optical (EO) sensors, such as video cameras, complement radar on board in detecting small …

Paving the way with machine learning for seamless indoor–outdoor positioning: A survey

M Mallik, AK Panja, C Chowdhury - Information Fusion, 2023 - Elsevier
Seamless positioning and navigation requires an integration of outdoor and indoor
positioning systems. Until recently, these systems mostly function in-silos. Though GNSS …

Learning visual semantic map-matching for loosely multi-sensor fusion localization of autonomous vehicles

Z Zhang, J Zhao, C Huang, L Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Precise localization is essential but also challenging for autonomous vehicles. In this article,
A novel visual localization method is proposed. Specifically, a semantic local map …

An enhanced adaptive unscented kalman filter for vehicle state estimation

Y Zhang, M Li, Y Zhang, Z Hu, Q Sun… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Accurate vehicle state information is crucial for safe driving and dynamic control of vehicles.
Vehicle state estimation under unknown noise conditions is an important research topic. A …

A hybrid model and learning-based adaptive navigation filter

B Or, I Klein - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
The fusion between an inertial navigation system and global navigation satellite systems is
regularly used in many platforms, such as drones, land vehicles, and marine vessels. The …

Schmidt ST-EKF for autonomous land vehicle SINS/ODO/LDV integrated navigation

M Wang, J Cui, Y Huang, W Wu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Autonomous land navigation has been studied extensively in recent years to improve
vehicle location accuracy in the satellite-denial environment. However, many previous …

[HTML][HTML] A novel method for AI-assisted INS/GNSS navigation system based on CNN-GRU and CKF during GNSS Outage

S Zhao, Y Zhou, T Huang - Remote Sensing, 2022 - mdpi.com
In the fields of positioning and navigation, the integrated inertial navigation system
(INS)/global navigation satellite systems (GNSS) are frequently employed. Currently, high …

Vehicle trajectory prediction method driven by raw sensing data for intelligent vehicles

Q Meng, H Guo, J Li, Q Dai, J Liu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicle trajectory prediction plays a vital role in intelligent driving modules and helps
intelligent vehicles travel safely and efficiently in complex traffic environments. Several …

A hybrid method for dealing with DVL faults of SINS/DVL integrated navigation system

J Zhu, A Li, F Qin, L Chang, L Qian - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Aiming at the situation that the underwater integrated navigation system is easy to be
disturbed and the output is unavailable during the task of underwater vehicle, a …