Social interactions for autonomous driving: A review and perspectives

W Wang, L Wang, C Zhang, C Liu… - Foundations and Trends …, 2022 - nowpublishers.com
No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …

[HTML][HTML] Distributed estimation over a low-cost sensor network: A review of state-of-the-art

S He, HS Shin, S Xu, A Tsourdos - Information Fusion, 2020 - Elsevier
Proliferation of low-cost, lightweight, and power efficient sensors and advances in networked
systems enable the employment of multiple sensors. Distributed estimation provides a …

An overview of cognitive radar: Past, present, and future

SZ Gurbuz, HD Griffiths, A Charlish… - IEEE Aerospace and …, 2019 - ieeexplore.ieee.org
Modern radar systems face numerous challenges due to requirements of robust, high
performance across multiple missions and multiple functions in the face of dynamically …

Real-time longitudinal and lateral state estimation of preceding vehicle based on moving horizon estimation

H Liu, P Wang, J Lin, H Ding… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In the advanced driver assistance system (ADAS) and autonomous driving systems,
accurate information on preceding vehicle motion states is vital for the path planning and …

A novel robust Kalman filtering framework based on normal-skew mixture distribution

M Bai, Y Huang, B Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this article, a novel normal-skew mixture (NSM) distribution is presented to model the
normal and/or heavy-tailed and/or skew nonstationary distributed noises. The NSM …

Multi-vehicle tracking with road maps and car-following models

D Song, R Tharmarasa, T Kirubarajan… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Multi-vehicle tracking is crucial in many applications, such as traffic surveillance, intelligent
transportation systems, and advanced driver assistance systems. Most conventional multi …

Trajectory optimization for multitarget tracking using joint probabilistic data association filter

S He, HS Shin, A Tsourdos - Journal of Guidance, Control, and …, 2020 - arc.aiaa.org
AIRBORNE target tracking is a key enabling technology in many civilian and military
applications, including situation awareness [1–3], vehicle monitoring [4, 5], public …

Personalized driver workload inference by learning from vehicle related measurements

D Yi, J Su, C Liu, WH Chen - IEEE Transactions on Systems …, 2017 - ieeexplore.ieee.org
Adapting in-vehicle systems (eg, advanced driver assistance systems and in-vehicle
information systems) to individual drivers' workload can enhance both safety and …

[HTML][HTML] A Robust Multi-Camera Vehicle Tracking Algorithm in Highway Scenarios Using Deep Learning

M Li, M Liu, W Zhang, W Guo, E Chen, C Zhang - Applied Sciences, 2024 - mdpi.com
In intelligent traffic monitoring systems, the significant distance between cameras and their
non-overlap** fields of view leads to several issues. These include incomplete tracking …

Motion modeling and state estimation in range-Doppler plane

G Zhou, Z Guo, K Li, L Wu - Aerospace Science and Technology, 2021 - Elsevier
The problem of motion modeling in range-Doppler (RD) plane as well as range and Doppler
estimation is investigated. The time evolving equations of target range and Doppler are …