A survey on compressed sensing in vehicular infotainment systems

J Guo, B Song, Y He, FR Yu… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Vehicular infotainment systems have attracted great interests from both academia and
industry. A vehicular infotainment system includes two parts: 1) the information part and 2) …

Efficient data collection and accurate travel time estimation in a connected vehicle environment via real-time compressive sensing

L Lin, W Li, S Peeta - Journal of Big Data Analytics in Transportation, 2019 - Springer
Connected vehicles (CVs) can capture and transmit detailed data such as vehicle position
and speed through vehicle-to-vehicle and vehicle-to-infrastructure communications. The …

Real-time and deep learning based vehicle detection and classification using pixel-wise code exposure measurements

C Kwan, D Gribben, B Chou, B Budavari, J Larkin… - Electronics, 2020 - mdpi.com
One key advantage of compressive sensing is that only a small amount of the raw video data
is transmitted or saved. This is extremely important in bandwidth constrained applications …

Vehicle-type detection based on compressed sensing and deep learning in vehicular networks

Y Li, B Song, X Kang, X Du, M Guizani - Sensors, 2018 - mdpi.com
Throughout the past decade, vehicular networks have attracted a great deal of interest in
various fields. The increasing number of vehicles has led to challenges in traffic regulation …

Influence of AVC and HEVC compression on detection of vehicles through Faster R-CNN

PH Chan, A Huggett, G Souvalioti… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Situational awareness based on the data collected by the vehicle perception sensors (ie
LiDAR, RADAR, camera and ultrasonic sensors) is key for achieving assisted and …

Efficient sampling and compressive sensing for urban monitoring vehicular sensor networks

X Yu, Y Liu, Y Zhu, W Feng, L Zhang, HF Rashvand… - IET wireless sensor …, 2012 - IET
Vehicular sensor network (VSN) using vehicle-based sensors is an emerging technology
that can provide an inexpensive solution for surveillance and urban monitoring applications …

CUR decomposition for compression and compressed sensing of large-scale traffic data

N Mitrovic, MT Asif, U Rasheed… - … IEEE Conference on …, 2013 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS) often operate on large road networks, and typically
collect traffic data with high temporal resolution. Consequently, ITS need to handle massive …

Adaptive compressed sensing for real-time video compression, transmission, and reconstruction

Y Zhao, Q Zeng, EY Lam - 2023 IEEE 10th International …, 2023 - ieeexplore.ieee.org
The real-time transmission of videos with both high resolution and high frame rate is
challenging, due to the limited storage space and significant communication overhead. To …

Compressed sensing for wireless communications: Useful tips and tricks

JW Choi, B Shim, Y Ding, B Rao… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
As a paradigm to recover the sparse signal from a small set of linear measurements,
compressed sensing (CS) has stimulated a great deal of interest in recent years. In order to …

Compressive sensing based monitoring with vehicular networks

H Wang, Y Zhu, Q Zhang - 2013 Proceedings IEEE infocom, 2013 - ieeexplore.ieee.org
Vehicles are becoming powerful mobile sensors, and vehicular networks provide a
promising platform to support a wide range of existing large-scale monitoring applications …