Towards deep radar perception for autonomous driving: Datasets, methods, and challenges
With recent developments, the performance of automotive radar has improved significantly.
The next generation of 4D radar can achieve imaging capability in the form of high …
The next generation of 4D radar can achieve imaging capability in the form of high …
Yolo-ore: A deep learning-aided object recognition approach for radar systems
TY Huang, MC Lee, CH Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
To enable intelligent vehicles and transportation systems, the vehicles and relevant systems
need to have the ability to sense environment and recognize objects. In order to benefit from …
need to have the ability to sense environment and recognize objects. In order to benefit from …
Safety aware neural network for connected and automated vehicle operations
Contemporary research in connected and automated vehicle (CAV) operations typically
segregates trajectory prediction from planning in two segregated models. Trajectory …
segregates trajectory prediction from planning in two segregated models. Trajectory …
Velocity estimation by two sample DFT interpolation and weighted least square fusion for dual-frequency radar
M Wang, Q Wang, K Han, X Jia - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Velocity measurements of moving targets based on radar systems have extensive
applications in many engineering fields. This article proposes an optimized velocity …
applications in many engineering fields. This article proposes an optimized velocity …
Deep-learning based multi-object detection and tracking using range-angle map in automotive radar systems
In this paper, a machine learning-based object detection and tracking approach in radar
system is proposed via using the range-angle map as the input. Specifically, by using the …
system is proposed via using the range-angle map as the input. Specifically, by using the …
[HTML][HTML] Analysis of Driving Behavior of Micromobility Vehicle Users at Mini-Roundabouts
N Distefano, S Leonardi, A Litrico - Applied Sciences, 2024 - mdpi.com
Featured Application This study provides practical applications for improving the safety and
efficiency of roundabouts for micromobility users. By analyzing the behavior of bikes and …
efficiency of roundabouts for micromobility users. By analyzing the behavior of bikes and …
ResNet Based Multi-Target Range and Velocity Estimation Method for Millimeter-Wave OFDM System
Y Bai, Y Zhao, C Liu, F Xu, G Liu - 2024 IEEE Wireless …, 2024 - ieeexplore.ieee.org
In the increasingly intricate and dynamic environments, it is difficult to achieve high-precision
multi-target sensing with limited bandwidth resources in integrated sensing and …
multi-target sensing with limited bandwidth resources in integrated sensing and …
A novel traffic flow reduction method based on incomplete vehicle history spatio-temporal trajectory data
In order to improve the effect of path planning in emergencies, the missing position
imputation and velocity restoration in vehicle trajectory provide data support for emergency …
imputation and velocity restoration in vehicle trajectory provide data support for emergency …
Efficient Channel State Feedback for Advanced Cellular MIMO FDD Systems
YC Lin - 2024 - search.proquest.com
Massive MIMO technology, leveraging beamforming and precoding, significantly enhances
spectrum and energy efficiency when CSI at the transmitter is available. However, the large …
spectrum and energy efficiency when CSI at the transmitter is available. However, the large …
Empirical Evaluation Of Component-Level Optimization Models For Communication Interfaces From A Pragmatic Perspective.
R Mahajan, SV Sonekar - Library of Progress-Library …, 2024 - search.ebscohost.com
An efficient mmWave communication interface requires optimized selection of channel-noise
aware transmitter components, noise-reduction amplifiers, low-BER (Bit Error Rate) receiver …
aware transmitter components, noise-reduction amplifiers, low-BER (Bit Error Rate) receiver …