Technology analysis and low-cost design of automotive radar for adaptive cruise control system

Jeong, Seonghee; Lee, J. E.; Choi, Sungyong; Oh, Jun-Nam; Lee, K. H.

doi:10.1007/s12239-012-0116-2

Cited by 21 publications

(7 citation statements)

References 6 publications

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“…Among these detection sensors, radars can quickly provide drivers with reliable information about the velocity, distance, and direction of a target obstacle, as well as information about the vehicle in changing weather conditions. Jeoung et al [6] stated that three radar sensors are usually needed because two short range radars are used to detect objects in the adjacent lane and one long range radar to detect objects in the desired path. However, it is found that ultra sonic and laser sensors have the advantage of providing fast responses which satisfy most of Arduino-Based Automatic Safety Vehicle Control Othman M.K.…”

Section: Fig 1 Causes Of Car Accidents In Jordanmentioning

confidence: 99%

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Arduino-Based Automatic Safety Vehicle Control

Saxena¹

2014

2nd International Conference on Research in Science, Engineering and Technology (ICRSET’2014), March 21-22, 2014 Dubai (UAE)

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To minimize the occurrence of vehicle accidents due to an eye or hand movements while driving, an automatic vehicle human-voice-based safety control is proposed in this paper. The design is implemented using an arduino microcontroller. One of the most important safety control features is the automotive speed control (ASC). In this safety control function, which prevents a vehicle sudden hit, the necessary action is issued based on the vehicle-tovehicle distance measure. To prevent the driver from attention withdraw and maintain a proper road and situation focus (as especially is the case at night), several other automated safety control operations are provided (i.e., radio, flasher, left flasher, right flasher, wipers, drive, and stop). These features are controlled according to human voice commands using an EasyVR module. The proposed model has been designed, built, and tested providing suitable results as desired.

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Section: Fig 1 Causes Of Car Accidents In Jordanmentioning

confidence: 99%

“…Shengbo et al [5] discussed the economy benefits using automated speed control based on reducing fuel consumption. Others suggest that the best sensors for this objective are the radar sensors [6]. Moreover, Rogowski [7] discussed the main advantages of voice control systems in industrial applications.…”

Section: Fig 1 Causes Of Car Accidents In Jordanmentioning

confidence: 99%

Arduino-Based Automatic Safety Vehicle Control

Saxena¹

2014

2nd International Conference on Research in Science, Engineering and Technology (ICRSET’2014), March 21-22, 2014 Dubai (UAE)

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“…After analyzing the collected vital signs data, the user can obtain the report of his/her health condition and proper prescription. In the automotive industry, IR-UWB radar is usually exploited for detection of pedestrians or other vehicles in advanced driver assistance systems (ADAS) [29], [30].…”

Section: Introductionmentioning

confidence: 99%

Robust Detection of Presence of Individuals in an Indoor Environment Using IR-UWB Radar

2020

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In this paper, we propose a robust detection method to determine the presence of individuals in an indoor environment by exploiting an impulse-radio ultra-wideband (IR-UWB) radar. Detection of the presence of individuals in an indoor environment using IR-UWB is not a trivial problem because real indoor environments provide heavy clutter components and spurious ones due to multipath effects. The study mainly discusses two difficulties involved in detecting an individual in an indoor environment, namely, how to reduce the clutter in an indoor environment and how to detect a very low radar cross section (RCS) target, i.e., an individual lying down. To reduce clutter components in indoor environments, we investigated several clutter reduction techniques in terms of detecting a standing individual and an individual lying down. However, even after clutter reduction, detection of an individual lying down continues to pose a challenge. Thus, we devised a novel two-stage detection scheme that first involves detection in the range domain, and then in the frequency domain, thereby resulting in good detection performance in terms of a high detection rate and a low false alarm rate. The proposed method was demonstrated by experiments in indoor environments, and the results indicate that its performance is robust in various scenarios. INDEX TERMS Human detection, IoT sensor, smart-home, ultra-wideband (UWB) radar, vital signs.

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“…Radar is expected to play an important role in advanced driver-assistance systems because of its robustness to various environmental factors such as lightning and weather conditions [1].…”

Section: Introductionmentioning

confidence: 99%

Complex-Valued Fully Convolutional Networks for MIMO Radar Signal Segmentation

Motoko

Yamamoto

Maeno

2018

IEICE Trans. Inf. & Syst.

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SUMMARYRadar is expected in advanced driver-assistance systems for environmentally robust measurements. In this paper, we propose a novel radar signal segmentation method by using a complex-valued fully convolutional network (CvFCN) that comprises complex-valued layers, realvalued layers, and a bidirectional conversion layer between them. We also propose an efficient automatic annotation system for dataset generation. We apply the CvFCN to two-dimensional (2D) complex-valued radar signal maps (r-maps) that comprise angle and distance axes. An r-maps is a 2D complex-valued matrix that is generated from raw radar signals by 2D Fourier transformation. We annotate the r-maps automatically using LiDAR measurements. In our experiment, we semantically segment rmap signals into pedestrian and background regions, achieving accuracy of 99.7% for the background and 96.2% for pedestrians.

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Technology analysis and low-cost design of automotive radar for adaptive cruise control system

Cited by 21 publications

References 6 publications

Arduino-Based Automatic Safety Vehicle Control

Arduino-Based Automatic Safety Vehicle Control

Robust Detection of Presence of Individuals in an Indoor Environment Using IR-UWB Radar

Complex-Valued Fully Convolutional Networks for MIMO Radar Signal Segmentation

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