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Learning-Based Extended Object Tracking Using Hierarchical Truncation Measurement Model With Automotive Radar

IEEE Journal on Selected Topics in Signal Processing, 2021
This paper presents a data-driven measurement model for extended object tracking (EOT) with automotive radar. Specifically, the spatial distribution of automotive radar measurements is modeled as a hierarchical truncated Gaussian (HTG) with structural ...
Yuxuan Xia   +7 more
semanticscholar   +1 more source

Radar Cross Section Enhancing Structures for Automotive Radars

IEEE Antennas and Wireless Propagation Letters, 2018
As automotive radar and driver assistance systems prevail, weak scattering targets such as pedestrians and bicycles can be applied with radar cross section (RCS) enhancing structures to improve road safety. Low-profile structures, which comprise straight and ring-shaped ridges mounted on metal plates, are developed in the 24 GHz band to provide the ...
Wen-Jiao Liao   +4 more
openaire   +2 more sources

SAR Imaging with Automotive Radar: Range Migration Algorithm, Experiment, and Future Directions in Automotive Vehicle

International Conference on Recent Advances and Innovations in Engineering, 2022
Synthetic Aperture Radar (SAR) imaging with air-borne radar has many applications in remote sensing, surface mapping, and civil infrastructure monitoring.
Sriharsha Nag T S   +3 more
semanticscholar   +1 more source

A Deep Reinforcement Learning Approach for Integrated Automotive Radar Sensing and Communication

International Conference on Security and Management, 2022
We present a deep reinforcement learning approach to design an automotive radar system with integrated sensing and communication. In the proposed system, sparse transmit arrays with quantized phase shifter are used to carry out transmit beamforming to ...
Lifan Xu, Ru-dan Zheng, Shunqiao Sun
semanticscholar   +1 more source

Radar waveform for automotive radar systems and applications

2008 IEEE Radar Conference, 2008
This paper describes three different continuous wave (CW) radar waveforms which are applied in automotive radar sensors. The radar sensor should be able to detect all objects inside the observation area and to estimate range, radial velocity and azimuth angle simultaneously even in multi target situations.
Hermann Rohling, Christof Moller
openaire   +1 more source

Automotive Radar Interference Mitigation using a Convolutional Autoencoder

Radar, 2020
Automotive radar interference imposes big challenges on signal processing algorithms as it raises the noise floor and consequently lowers the detection probability.
Jonas Fuchs   +4 more
semanticscholar   +1 more source

A Novel Approach for Model-Based Pedestrian Tracking Using Automotive Radar

IEEE transactions on intelligent transportation systems (Print), 2022
Pedestrians represent acutely complex and agile targets whose accident prevention has the highest priority concerning highly automated vehicles in urban traffic.
Patrick Held   +4 more
semanticscholar   +1 more source

Signal processing for automotive radar

IEEE International Radar Conference, 2005., 2005
With rising accident rates, researchers are looking for solutions to reduce fatalities. Some enhance car designs to protect drivers more adequately. Some propose improvements to the traffic and road systems to reduce the chances of accidents. Still others propose the installation of special gadgets to improve the situational awareness of drivers and to
D. Kok, J.S. Fu
openaire   +1 more source

Automotive radar interference test

2017 18th International Radar Symposium (IRS), 2017
Fully automated vehicles are currently under research and development and will become reality in the near future. Key enabling sensors in this area are automotive radars, which currently support driving comfort and crash prevention. These radars operate in the 24 GHz and 76–81 GHz bands as of today and occupy the spectrum heavily.
openaire   +1 more source

4D High-Resolution Imagery of Point Clouds for Automotive mmWave Radar

IEEE transactions on intelligent transportation systems (Print)
In the community of automotive millimeter wave radar, the recently developed concept of four-dimensional (4D) radar can provide high-resolution point clouds image with enhanced imaging performance.
Mengjie Jiang   +6 more
semanticscholar   +1 more source

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