Lane Detection With a High-Resolution Automotive Radar by Introducing a New Type of Road Marking

Feng, Zhaofei; Li, Mingkang; Stolz, Martin; Kunert, Martin; Wiesbeck, W.

doi:10.1109/tits.2018.2866079

Cited by 41 publications

(22 citation statements)

References 17 publications

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“…The pulse duration is 540 ps, which is approximately twice the delay time (td), and the bandwidth is 2.073 GHz (117 MHz-2.19 GHz, fractional bandwidth of 1.797), given the Federal Communications Commission (FCC)'s normalized magnitude ≥ −10 dB. The realized IR-UWB bandwidth falls within the S-band frequency (2)(3)(4).…”

Section: Ir-uwb Pulse Generation Using Fpga Schemementioning

confidence: 99%

“…Radar technology first emerged during World War II [1] and has evolved ever since. Apart from military operations, modern radar technology is deployed in numerous applications, including range/speed detection, autonomous driving vehicles [2][3][4][5], detection of objects buried underground (e.g., landmines or pipelines) [6][7][8][9][10], detection of airborne objects [11][12][13], and bio-radiolocation.…”

Section: Introductionmentioning

confidence: 99%

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IR-UWB Pulse Generation Using FPGA Scheme for through Obstacle Human Detection

Tantiparimongkol

Phasukkit

2020

Sensors

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This research proposes a scheme of field programmable gate array (FPGA) to generate an impulse-radio ultra-wideband (IR-UWB) pulse. The FPGA scheme consists of three parts: digital clock manager, four-delay-paths stratagem, and edge combiner. The IR-UWB radar system is designed to detect human subjects from their respiration underneath the rubble in the aftermath of an earthquake and to locate the human subjects based on range estimation. The proposed IR-UWB radar system is experimented with human subjects lying underneath layers of stacked clay bricks in supine and prone position. The results reveal that the IR-UWB radar system achieves a pulse duration of 540 ps with a bandwidth of 2.073 GHz (fractional bandwidth of 1.797). In addition, the IR-UWB technology can detect human subjects underneath the rubble from respiration and identify the location of human subjects by range estimation. The novelty of this research lies in the use of the FPGA scheme to achieve an IR-UWB pulse with a 2.073 GHz (117 MHz–2.19 GHz) bandwidth, thereby rendering the technology suitable for a wide range of applications, in addition to through-obstacle detection.

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Section: Ir-uwb Pulse Generation Using Fpga Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

IR-UWB Pulse Generation Using FPGA Scheme for through Obstacle Human Detection

Tantiparimongkol

Phasukkit

2020

Sensors

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“…In the case of the research conducted in the 2007 DARPA Urban Challenge [4] and in the case of the road boundary and object recognition research [5], the maps were mainly constructed using the camera and lidar sensors [6]. However, because the camera and lidar sensors are sensitive to visibility and weather conditions, the radar sensor that is robust to these conditions is attracting attention [7], [8]. In addition, Bosch recently announced at TU-Automotive Detroit 2017 that it will create a radar road signature that builds a high-resolution…”

Section: Introductionmentioning

confidence: 99%

“…So, various studies have been conducted to recognize objects using radar. There have been researches on road recognition using tracking and probability hypothesis density filter [2], [3], road structure recognition based on statistical characteristic [9], road marking analysis for road line recognition [8], forward bridge identification using frequency analysis of received radar signals [10], and radar signal analysis for pedestrian [11] and bicycle user recognition [12]. Most studies use the frequency modulated continuous wave (FMCW) radar, which performs object recognition by measuring the beat frequencies in the frequency domain [13].…”

Section: Introductionmentioning

confidence: 99%

Classification and Spectral Mapping of Stationary and Moving Objects in Road Environments Using FMCW Radar

Song

Shin

2020

IEEE Access

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In order to establish a reliable map of the road environment, this paper aims to classify the stationary and moving objects unlike the previous researches which generally focus on object recognition. The characteristics of the radar signals of stationary and moving objects were analyzed and the relation between the slope of pattern in radar time-frequency spectrum and relative velocity of the object was described mathematically. To discriminate the stationary and moving objects, the difference between the measured velocity by the slope and the velocity of the ego-vehicle was proposed as a feature. The statistical characteristics of stationary and moving objects according to the proposed feature were modeled using Gaussian model. To investigate the performance of the proposed method, the similarity between modeling of stationary and moving objects was quantified. Additionally, the receiver operating characteristics (ROC) curve and the correlation coefficient between the proposed feature and the ground-truth feature map was applied to verify the performance. INDEX TERMS Automotive radar, radar signal processing, road environment map, FMCW radar, object classification.

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“…Sensors have become the key enabling technologies of the Internet-of-Things (IoT) applications such as manufacturing and industrial support [ 1 , 2 , 3 , 4 , 5 ], transportation and mobility [ 1 , 2 , 3 , 4 , 5 , 6 ], energy [ 7 , 8 ], retail [ 9 , 10 , 11 ], smart cities [ 12 , 13 ], health care [ 14 , 15 ], supply chain [ 16 , 17 , 18 ], agriculture [ 19 , 20 ], and buildings [ 21 , 22 , 23 ]. With these growing demand for contactless and wireless data acquisition and services, the demand for optimized sensors in various fields is also growing.…”

Section: Introductionmentioning

confidence: 99%

Dual-Polarized Multi-Channel 24 GHz Radar Sensor Antenna for High Channel-to-Channel Isolation

Kim

Noh

Lee

et al. 2020

Sensors

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This article presents a dual-polarized, high gain multi-beam and high T/Rx channel-to-channel isolation antenna module for 24 GHz sensor applications. The proposed antenna is configured to support 2-Tx and 2-Rx channels with a pair of vertically polarized (VP) radiation pattern and a pair of horizontally polarized (HP) radiation pattern. Further, each linearly polarized T/Rx antenna is configured by 2 × 4 array with a multi-layer integrated feed network, resulting in four sets of 2 × 4 array antennas fabricated within a single printed circuit board (PCB). Since multiple RF channels must be ensured with minimal interference, high antenna-to-antenna, including Tx-to-Tx, Rx-to-Rx, and Tx-to-Rx port isolations in the proposed antenna are achieved by multi-layered feed network and four sets of T-shaped magnetic walls. To verify the performance of the proposed structure, a 2-Tx and 2-Rx antenna module was fabricated at 24 GHz. The fabricated antenna showed a measured maximum 10-dB impedance bandwidth of 3.9% with a maximum measured gain of 11.7 dBi, considering both Tx and Rx. Further, the measured channel-to-channel isolations were always better than 35.6 dB at 24 GHz.

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Lane Detection With a High-Resolution Automotive Radar by Introducing a New Type of Road Marking

Cited by 41 publications

References 17 publications

IR-UWB Pulse Generation Using FPGA Scheme for through Obstacle Human Detection

IR-UWB Pulse Generation Using FPGA Scheme for through Obstacle Human Detection

Classification and Spectral Mapping of Stationary and Moving Objects in Road Environments Using FMCW Radar

Dual-Polarized Multi-Channel 24 GHz Radar Sensor Antenna for High Channel-to-Channel Isolation

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