An algorithm to predict vehicle trajectory, based on image processing techniques of the radar return signals, is discussed in this paper. The reliability of the ...
An algorithm to predict vehicle trajectory, based on image processing techniques of the radar return signals, is discussed in this paper.
Radar has been a key enabler of advanced driver assistance systems in automotive for over two decades. Being an inexpensive, all-weather and long-range ...
Aug 24, 2023 · In this paper, we propose a radar-based relative vehicle positioning estimation method. In the proposed method, the dynamic range and azimuth of a Frequency ...
Missing: Trajectory. | Show results with:Trajectory.
The main objective of this work is to improve the trajectory prediction accuracy and establish a proper control strategy for AVs that guarantees safety and ...
In this paper, we propose an approach for designing a vehicle collision warning system based on fusion of multisensors and wireless vehicular communications.
Sep 5, 2023 · In this blog, we will explore how AI is transforming Automotive Radar, enhancing its performance and enabling safer Autonomous Driving.
This work presents a methodology for extracting vehicle trajectories from six partially-overlapping roadside radars through a signalized corridor.
This comprehensive review focuses on the Autonomous Driving System (ADS), which aims to reduce human errors that are the reason for about 95% of car accidents.
Radar Signal Simulation and Processing for Automated Driving
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A tracker is used to process these detections to generate precise estimates of the position and velocity of the vehicles detected by your automotive radar.
Missing: Trajectory. | Show results with:Trajectory.