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Social interactions for autonomous driving: A review and perspectives
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 …
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
Proliferation of low-cost, lightweight, and power efficient sensors and advances in networked
systems enable the employment of multiple sensors. Distributed estimation provides a …
systems enable the employment of multiple sensors. Distributed estimation provides a …
An overview of cognitive radar: Past, present, and future
Modern radar systems face numerous challenges due to requirements of robust, high
performance across multiple missions and multiple functions in the face of dynamically …
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 …
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
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 …
normal and/or heavy-tailed and/or skew nonstationary distributed noises. The NSM …
Multi-vehicle tracking with road maps and car-following models
Multi-vehicle tracking is crucial in many applications, such as traffic surveillance, intelligent
transportation systems, and advanced driver assistance systems. Most conventional multi …
transportation systems, and advanced driver assistance systems. Most conventional multi …
Trajectory optimization for multitarget tracking using joint probabilistic data association filter
AIRBORNE target tracking is a key enabling technology in many civilian and military
applications, including situation awareness [1–3], vehicle monitoring [4, 5], public …
applications, including situation awareness [1–3], vehicle monitoring [4, 5], public …
Personalized driver workload inference by learning from vehicle related measurements
Adapting in-vehicle systems (eg, advanced driver assistance systems and in-vehicle
information systems) to individual drivers' workload can enhance both safety and …
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 …
non-overlap** fields of view leads to several issues. These include incomplete tracking …
Motion modeling and state estimation in range-Doppler plane
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 …
estimation is investigated. The time evolving equations of target range and Doppler are …