77 GHz radar scattering properties of pedestrians

Belgiovane, Domenic; Chen, Chi‐Chih; Chen, Ming; Chien, Stanley; Sherony, Rini

doi:10.1109/radar.2014.6875687

Cited by 23 publications

(17 citation statements)

References 6 publications

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“…can all be calculated. There is a close correlation between the reflection rate of the radio waves by an object and the distance up to which an object can be detected by the radar sensor [10].…”

Section: Resultsmentioning

confidence: 99%

Pedestrian and Vehicle Recognition Based on Radar for Autonomous Emergency Braking

Wu¹

2017

SAE Technical Paper Series

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Autonomous Emergency Braking Systems (AEBS) usually contain radar, (stereo) camera and/or LiDAR-based technology to identify potential collision partners ahead of the car, such that to warn the driver or automatically brake to avoid or mitigate a crash. The advantage of camera is less cost: however, is inevitable to face the defects of cameras in AEBS, that is, the image recognition cannot perform good accuracy in the poor or over-exposure light condition. Therefore, the compensation of other sensors is of importance. Motivated by the improvement of false detection, we propose a Pedestrian-and-Vehicle Recognition (PVR) algorithm based on radar to apply to AEBS. The PVR employs the radar cross section (RCS) and standard deviation of width of obstacle to determine whether a threshold value of RCS and standard deviation of width of the pedestrian and vehicle is crossed, and to identity that the objective is a pedestrian or vehicle, respectively. The performance of the proposed algorithm is pressed via the experimental test data.

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Section: Resultsmentioning

confidence: 99%

Pedestrian and Vehicle Recognition Based on Radar for Autonomous Emergency Braking

Wu¹

2017

SAE Technical Paper Series

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“…The mean value for the radar cross section of a car is taken as 20 m 2 [30], [31]. The pedestrian RCS at 77 GHz is set to −5 dB/m 2 [7]. At the signal processing stage, the received and transmitted chirp sequences are mixed, passed from the ADC with Chebyshew low-pass filters of order 13.…”

Section: Performance Evaluation and Resultsmentioning

confidence: 99%

Improved Pedestrian Detection under Mutual Interference by FMCW Radar Communications

Avdogdu

Garcia

Wymeersch

2018

2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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The widespread of automotive radars leads to increase of mutual interference, which in turn degrades road safety. The effect of mutual interference with a focus on detection of pedestrians is investigated. It is shown that detection of pedestrians degrades in the presence of mutual interference. A joint radar communication solution is proposed that increases pedestrian detection probability with negligible impact in the ranging error.

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“…Cars and other vehicles were modeled using perfect electrical conductors and glass. Pedestrians were modeled using the single material dry skin human model with a dielectric constant (ɛ r = 6.6) and conductivity ( σ = 38.38 S / m ). The transmitter and receiver antennas are series fed, rectangular microstrip patch antennas that were designed using HFSS FEM…”

Section: Radar Scene Modelingmentioning

confidence: 99%

Full physics simulation of terrain‐adaptive 77 GHz automotive radar for early pedestrian detection

Chipengo

2019

Micro & Optical Tech Letters

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Fully autonomous vehicles and the need to improve road safety have led to increased demands on the reliability of various advanced driver assistance systems (ADAS). Automotive radar is a key component of ADAS as it adds both safety and comfort features in vehicles. A key challenge in developing automotive radar is demonstrating reliability especially in corner cases. Building and testing radar systems for corner cases is time‐consuming, costly, and impractical. Simulation is the only practical way of investigating the countless possible automotive radar corner cases. An interesting corner case is the reduction of radar returns due to sharp road bends. Specifically, crucial targets with low radar cross sections (RCS) such as pedestrians can become invisible to radar when driving around sharp road bends. In this article, a high fidelity, full physics‐based simulation of a 77 GHz automotive radar scene will be used to investigate this corner case. The dependence of radar returns on the position of an ego vehicle negotiating a sharp bend will be presented. Results from these simulations show a pedestrian disappearing from view at an approaching angle of 60∘ with a degradation of over 40 dB in pedestrian radar returns. Using results from this study, a terrain‐adaptive technique for improving radar target detection capabilities is proposed. This technique is shown to improve pedestrian radar returns by over 26 dB. Improved radar returns can help in early detection of pedestrians and other relevant targets. Early target detection can help reduce accidents while potentially saving pedestrian lives.

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77 GHz radar scattering properties of pedestrians

Cited by 23 publications

References 6 publications

Pedestrian and Vehicle Recognition Based on Radar for Autonomous Emergency Braking

Pedestrian and Vehicle Recognition Based on Radar for Autonomous Emergency Braking

Improved Pedestrian Detection under Mutual Interference by FMCW Radar Communications

Full physics simulation of terrain‐adaptive 77 GHz automotive radar for early pedestrian detection

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