Frequency-modulated Continuous-wave LIDAR Module in Silicon Photonics

Poulton, Christopher V.; Cole, David B.; Yaacobi, Ami; Watts, Michael R.

doi:10.1364/ofc.2016.w4e.3

Cited by 15 publications

(6 citation statements)

References 7 publications

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“…Event cameras have great potential to be used as sensors for autonomous driving due to their ability to record pixel brightness changes and their excellent dynamic vision capabilities. Binas et al [6] investigated the use of a Dynamic Vision Sensor (DVS) in conjunction with a standard Active Pixel Sensor (APS) image stream. We utilized a Convolutional Neural Network (CNN) to learn and predict the steering angle from both the DVS and APS vision data.…”

Section: Cameramentioning

confidence: 99%

Development and Key Technologies of the Cognition system of Autonomous Driving

Zhang,

Feng,

Huang

et al. 2023

HSET

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With the rapid development of automotive electronics technology and artificial intelligence, autonomous driving has become an important solution for future transportation challenges. As an integral component of autonomous driving systems, the intelligent cognitive system has emerged as a prominent area of technological research. This paper focuses on the development and key technologies of autonomous driving cognitive systems, based on published literature. The architecture of cognitive systems for autonomous driving is typically divided into two subsystems: the environmental perception system and the assessment and prediction system. Our study provides a detailed description of the methods used in both subsystems. We then conduct a comparative analysis and discussion to evaluate their strengths and limitations. Overall, we hope that this study will provide timely and valuable information to a rapidly evolving field concerning cognitive technology for autonomous vehicles.

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Section: Cameramentioning

confidence: 99%

Development and Key Technologies of the Cognition system of Autonomous Driving

Zhang,

Feng,

Huang

et al. 2023

HSET

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“…FMCW LiDAR [38] emits light continuously to measure objects speed based on Doppler effect. In the last years some research prototypes suitable for the automotive market start appearing [39]. Apart from improving target tracking capabilities, observation of speed can be useful to enhance activity recognition and behavior prediction, for example by detecting the different speeds of limbs and body in cyclists and pedestrians.…”

Section: ) Emerging Lidar Technologiesmentioning

confidence: 99%

A Review of Sensor Technologies for Perception in Automated Driving

Martí

Miguel

Fernández

et al. 2019

IEEE Intell. Transport. Syst. Mag.

218

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After more than 20 years of research, ADAS are common in modern vehicles available in the market. Automated Driving systems, still in research phase and limited in their capabilities, are starting early commercial tests in public roads. These systems rely on the information provided by on-board sensors, which allow to describe the state of the vehicle, its environment and other actors. Selection and arrangement of sensors represent a key factor in the design of the system. This survey reviews existing, novel and upcoming sensor technologies, applied to common perception tasks for ADAS and Automated Driving. They are put in context making a historical review of the most relevant demonstrations on Automated Driving, focused on their sensing setup. Finally, the article presents a snapshot of the future challenges for sensing technologies and perception, finishing with an overview of the commercial initiatives and manufacturers alliances that will show the intention of the market in sensors technologies for Automated Vehicles.

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“…10−12 However, many current LiDAR systems are characterized by their bulkiness and high costs, factors that impose constraints on their applicability in specific scenarios requiring a compact form factor and cost-effectiveness. 13 Integrated photonics offers a promising route for the development of chip-scale LiDAR systems. Simin Li et al demonstrated a microwavephotonic radar, obtaining high-precision range measurement with a resolution of 2.7 cm and an error of less than 2.75 mm.…”

Section: ■ Introductionmentioning

confidence: 99%

“…However, many current LiDAR systems are characterized by their bulkiness and high costs, factors that impose constraints on their applicability in specific scenarios requiring a compact form factor and cost-effectiveness . Integrated photonics offers a promising route for the development of chip-scale LiDAR systems.…”

Section: Introductionmentioning

confidence: 99%

Microcavity Raman Laser-Based FMCW LiDAR with Enhanced Echo Sensitivity

Li,

Tian,

Lin

et al. 2024

ACS Photonics

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Frequency-modulated continuous-wave laser detection and ranging (FMCW LiDAR) is a useful technology with various applications. However, numerous existing FMCW LiDAR systems are bulky, restricting their applicability in scenarios where minimizing the form factor is essential. Another major limitation is their echo-signal sensitivity. Considering that the detected targets are typically noncooperative, efficient detection of scattered light is imperative. Based on that, a microcavity Raman laser-based FMCW LiDAR is proposed combined with laser feedback technique. In the laser feedback regime, weak echo signals from targets participate in the stimulated radiation of the laser and are enhanced spontaneously when the measurement signal resonates with the laser relaxation oscillation. Without extra optical amplifiers, the laser cavity functions as an intrinsic amplifier and provides an improved signal-to-noise ratio of over 30 dB compared with conventional frequency swept interference methods. The response optical power limit can be down to 7.92 fW in the experiment. The standard deviation in 10 measurements is about 217 μm when targeting an aluminum block. By combining the proposed system with a 2-axis galvanometer scanner, 3D imaging of actual scenes can also be effectively reconstructed. This study illustrates a microcavity Raman laser-based device for conducting FMCW ranging measurements. It employs an extremely low-power near-infrared laser for detection, effectively addressing the issue of laser active detection equipment being easily detected.

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Frequency-modulated Continuous-wave LIDAR Module in Silicon Photonics

Cited by 15 publications

References 7 publications

Development and Key Technologies of the Cognition system of Autonomous Driving

Development and Key Technologies of the Cognition system of Autonomous Driving

A Review of Sensor Technologies for Perception in Automated Driving

Microcavity Raman Laser-Based FMCW LiDAR with Enhanced Echo Sensitivity

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