Real- Time Synthetic Aperture Radar for Automotive Embedded Systems

Fembacher, Florian; Khalid, Farhan; Baláȥs, Gábor; Nugraha, Dian; Roger, A.

doi:10.23919/eumc.2018.8541602

Cited by 5 publications

(5 citation statements)

References 6 publications

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“…vy,u T f + vy,p nT c (12) where the initial location of radar is set to the origin without loss of generality, T f is the frame duration, and T c is the chirp duration.…”

Section: Ego-motion Estimation With Radar Odometrymentioning

confidence: 99%

“…However, automotive (vehicle-based) SAR algorithms need to cope with specific difficulties -notably estimation of vehicle motion and (importantly) achieving real-time operation [7]. Accordingly, prior research on automotive SAR algorithms has focused on speeding up post-processing via techniques to reduce the algorithmic run-time complexity [6], [12].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

MIMO-SAR: A Hierarchical High-resolution Imaging Algorithm for mmWave FMCW Radar in Autonomous Driving

Gao

Roy

Xing

2021

Preprint

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Millimeter-wave radars are being increasingly integrated into commercial vehicles to support advanced driverassistance system features. A key shortcoming for present-day vehicular radar imaging is poor azimuth resolution (for sidelooking operation) due to the form factor limits on antenna size and placement. In this paper, we propose a solution via a new multiple-input and multiple-output synthetic aperture radar (MIMO-SAR) imaging technique, that applies coherent SAR principles to vehicular MIMO radar to improve the side-view (angular) resolution. The proposed 2-stage hierarchical MIMO-SAR processing workflow drastically reduces the computation load while preserving image resolution. To enable coherent processing over the synthetic aperture, we integrate a radar odometry algorithm that estimates the trajectory of ego-radar. The MIMO-SAR algorithm is validated by both simulations and real experiment data collected by a vehicle-mounted radar platform (see Fig. 1).

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“…vy,u T f + vy,p nT c (12) where the initial location of radar is set to the origin without loss of generality, T f is the frame duration, and T c is the chirp duration.…”

Section: Ego-motion Estimation With Radar Odometrymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

MIMO-SAR: A Hierarchical High-resolution Imaging Algorithm for mmWave FMCW Radar in Autonomous Driving

Gao

Roy

Xing

2021

Preprint

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“…Pointillism takes advantage of multiple radars for increasing the point cloud density while minimizing noise recorded in the scene, as opposed to getting a wider FoV. Synthetic Aperture Radar Synthetic Aperture Radar(SAR) [22,24,25] based techniques are used to increase the resolution of radar, but they have limitations. SAR approaches can not resolve the specularity problem of mmWaves, which requires a different viewpoint as provided by multiple radars in Pointillism.…”

Section: Related Workmentioning

confidence: 99%

“…SAR approaches can not resolve the specularity problem of mmWaves, which requires a different viewpoint as provided by multiple radars in Pointillism. For a vehicle moving on the road, a SAR based approach needs to be implemented using the motion of the car as done in [22,24], instead of physically moving the radar. This approach to SAR only increases the resolution on the sides of the ego vehicle (side-looking SAR).…”

Section: Related Workmentioning

confidence: 99%

Pointillism

Bansal

Rungta

Zhu

et al. 2020

Proceedings of the 18th Conference on Embedded Networked Sensor Systems

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Autonomous perception requires high-quality environment sensing in the form of 3D bounding boxes of dynamic objects. The primary sensors used in automotive systems are light-based cameras and LiDARs. However, they are known to fail in adverse weather conditions. Radars can potentially solve this problem as they are barely affected by adverse weather conditions. However, specular reflections of wireless signals cause poor performance of radar point clouds. We introduce Pointillism, a system that combines data from multiple spatially separated radars with an optimal separation to mitigate these problems. We introduce a novel concept of Cross Potential Point Clouds, which uses the spatial diversity induced by multiple radars and solves the problem of noise and sparsity in radar point clouds. Furthermore, we present the design of RP-net, a novel deep learning architecture, designed explicitly for radar's sparse data distribution, to enable accurate 3D bounding box estimation. The spatial techniques designed and proposed in this paper are fundamental to radars point cloud distribution and would benefit other radar sensing applications CCS CONCEPTS• Hardware → Sensor applications and deployments; • Computing methodologies → Scene understanding; Neural networks; • Information systems → Sensor networks.

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“…The new technology is linear MIMO arrays; these are used in cars, but can also be used in other mobile platforms, such as ground robots, drones, etc. It can be noted that most of the research that has been carried out offers ideas for the future, for instance parking lot detection [ 10 , 11 , 12 , 13 ], road border localisation [ 14 ], vegetation tracking along the roadside [ 15 ], road curvature [ 16 ], debris detection [ 17 ], and vehicle type categorization [ 12 ]. Additionally, the linear MIMO array is a low-cost system because of its low power consumption and small size, which increases the possibility of experimental studies.…”

Section: Introductionmentioning

confidence: 99%

A New Concept of Contiguous-Swath SAR Imaging with High Resolution: Strip-Spot SAR

Korkmaz

Antoniou

2022

Sensors

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The study offers a Synthetic Aperture Radar (SAR) imaging concept called Strip-Spot SAR, which uses linear Multiple-Input Multiple-Output (MIMO) radar arrays, which are becoming increasingly attractive for short-range sensing in a variety of growing application sectors. The concept specifically employs Digital Beam-Forming (DBF) techniques, which are enabled in such systems to give contiguous azimuth imaging, as in Stripmap SAR, but with the fine spatial resolution of a Spotlight SAR. Its fundamental concepts are analytically derived and experimentally validated under laboratory conditions using calibrated and real targets. Finally, the performance and limitations of the concept are investigated.

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Real- Time Synthetic Aperture Radar for Automotive Embedded Systems

Cited by 5 publications

References 6 publications

MIMO-SAR: A Hierarchical High-resolution Imaging Algorithm for mmWave FMCW Radar in Autonomous Driving

MIMO-SAR: A Hierarchical High-resolution Imaging Algorithm for mmWave FMCW Radar in Autonomous Driving

Pointillism

A New Concept of Contiguous-Swath SAR Imaging with High Resolution: Strip-Spot SAR

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