AEye in the News

AutoSens

AutoSens talks “Rethinking the Three ‘Rs’ of LiDAR: Rate, Resolution and Range” with AEye’s VP Product Management, Aravind Ratnam

At AutoSens Brussels 2019, AEye's Aravind Ratnam spoke with Carl Anthony of AutoSens TV about solving corner cases, how to move ADAS past Level 2, and how Tier 1 automotive suppliers can best package perception systems for OEMs.
Wards Intelligence

Wards Intelligence Talks AEye’s LiDAR for ADAS Applications with AEye VP of Marketing, Stephen Lambright

David Zoia of Wards Intelligence interviews AEye's VP of Marketing, Stephen Lambright, about autonomous vehicle development and production of AEye's solid-state LiDAR for ADAS systems.
EE Times

EETimes Talks ‘Corner Cases’ with AEye’s VP of Product Management, Aravind Ratnam, at AutoSens Brussels 2019

EE Times interviewed AEye’s VP of Product Management, Aravind Ratnam, at AutoSens Brussels 2019 for their article "6 Trends on ‘Perception’ for ADAS/AV." Ratnam explains how only AEye's iDAR can “address certain corner cases" that conventional perception systems for ADAS and fully autonomous vehicles have difficulty handling reliably.
AV Technology Magazine

Autonomous Vehicle Technology Publishes Aravind Ratnam’s New Metrics for LiDAR Evaluation

In the August 2019 issue of Autonomous Vehicle Technology magazine, AEye’s VP of Product Management, Aravind Ratnam, rethinks the three “Rs” of LiDAR — rate, resolution, and range — and proposes extending automotive LiDAR evaluation metrics to meet the capabilities of today's technology.
SAE Autonomous Vehicle Engineering

SAE’s Autonomous Vehicle Engineering on New LiDAR Performance Metrics

In the May 2019 issue of SAE’s Autonomous Vehicle Engineering (AVE) magazine, AEye’s technical product manager, Indu Vijayan, argues that conventional metrics used for evaluating the unique capabilities of more advanced lidar systems are inadequate, failing to address real-world driving problems facing autonomous vehicles. In ‘New Performance Metrics for Lidar,’ Indu proposes that new measurements, such as object revisit rate and instantaneous (angular) resolution, are more advantageous for autonomous vehicle development.

Forbes on How AEye Teaches Autonomous Vehicles to Perceive Like a Human

AEye asks: “What is the best way to deliver artificial perception for robotic and autonomous vehicles?” In “Teaching An Autonomous Car To Perceive Like A Human,” Forbes learns that it involves mimicking the advanced processes of the human visual cortex. “Intelligence begins with how you collect data,” says AEye President, Blair LaCorte, “[and] iDAR captures and processes environmental data – just as the human visual cortex does.”
The Register

The Register and AEye President, Blair LaCorte, Predict the Future of Self-Driving Cars

At the 2019 Intel Capital Global Summit in Phoenix, AEye President, Blair LaCorte, details to The Register how he envisions the future of the self-driving car industry and demonstrates AEye's advanced artificial perception technology.
Autonomous Cars with Marc Hoag

Autonomous Cars with Marc Hoag Talks “Biomomicry” with AEye President, Blair LaCorte

On Autonomous Cars with Marc Hoag, AEye President, Blair LaCorte, explains how the fusion of LiDAR and camera vision empowers autonomous vehicles to perceive like a human.
Automotive World

Automotive World Explores the Flourishing Relationship Between Artificial Intelligence and Sensors

In their "Special report: Artificial intelligence and the autonomous vehicle," Automotive World examines how deep learning plays a critical role in the development of self-driving cars, and how AEye offers a more intelligent approach to data collection and handling.    Downloadable PDF
Smarter Cars

Smarter Cars Podcast Talks LiDAR and Perception Systems with AEye President, Blair LaCorte

Smarter Cars host, Michele Kyrouz, sits down with AEye President, Blair LaCorte to discuss AEye's cutting-edge technology for autonomous vehicles which fuses cameras and LiDAR to mimic human perception
BeTerrific!!

BeTerrific Interviews AEye’s Head of Customer Success at CES 2019

At CES 2019, AEye's Head of Customer Success, Joel Benscoter, spoke with BeTerrific's Michael Artsis about what sets iDAR technology apart from conventional perception systems for autonomous vehicles.
IEEE Spectrum

IEEE Spectrum Examines LiDAR Wavelength Safety for the Human Eye and Digital Cameras

IEEE Spectrum details why the 1550 nanometer wavelength for LiDAR is safe for the human eye, and calls the industry to work together to ensure multimodal sensor compatibility and interoperability.
Reuters

Reuters Rides Along with AEye at CES 2019

AEye takes Reuters on a drive down the Las Vegas Strip to show off how its artificial perception technology can detect up to 1000 meters and mimic human perception by focusing on important objects in a scene.
MotorTrend

Motor Trend Features AEye’s iDAR System for Self Driving Cars

In its "Innovations in Enviro-Sensing for Robocars" feature, Motor Trend details how AEye's iDAR “embeds microelectromechanical systems into solid-state LiDAR, allowing it to fire photons randomly rather than in a preset pattern, making it easier for the computer to process.” This reduces latency and power consumption five to ten times over competitors.
AnyAuto

AnyAuto Names AEye One of “10 Automotive Startups to Watch in 2019”

As a robotics perception pioneer bringing new, intelligent data perception to automotive vehicles, AnyAuto has named AEye among "the automotive innovations to watch closely in the year 2019."
engineering.com

Engineering.com Features AEye in its CES 2019 Autonomous Vehicle Tech Roundup

Engineering.com: “While conventional LiDAR systems rely on an array of independent sensors that produce large quantities of data — which [then] require long processing times and extensive computing power to analyze and translate it into actionable information that a car can use” — only AEye’s iDAR system can intelligently prioritize actionable data.
optics.org

Optics.org Highlights AEye’s AE200 Series Announcement and $40M Series B Funding

optics.org  |  The AE200 Series delivers ADAS L3 long range performance of up to 200 meters at 10% reflectivity at 0.1° resolution with a short range performance configuration of 50 meters range at 10% reflectivity. AEye's AE200 Series will be modular in design and capable of up to 120°x 45° Field of View. AEye also recently announced the close of its Series B funding, which will be used to scale its operations to meet the demand of its global partners and customers.
Wired

Wired Chuckles at AEye’s Cheeky Dart Demo

What better way to test the abilities of a LiDAR system than determining if it can perceive the dart from a "Nerf" gun? Thanks Wired Transportation Editor, Alex Davies, for the inspiration!
Forbes

Forbes Features AEye’s iDAR 1000 Meter Detection Range and 100 HZ Scan Rate Achievement

Forbes details why conventional, solid-state LiDAR systems won't be enough to cultivate the future of autonomous vehicles. Instead, what will catapult autonomous vehicles into the mainstream market is faster, smarter, detection systems, like AEye's iDAR, which fuses agile LiDAR with a high-resolution, low-light camera to replicate the advanced processes of the human visual cortex.
EE Times

EE Times Looks to AEye to Answer the Question, “Do ADAS cars and robocars really need lidars?”

EETimes explores AEye's use of artificial intelligence to discriminately collect data information that only matters to an AV’s path planning, instead of assigning every pixel the same priority. According to VSI's Phil Magney, "this is really edge fusion as the device is fusing the raw data with the camera data before any classification occurs.”
VentureBeat

VentureBeat Says iDAR Is “Built for Speed”

VentureBeat reports that AEye's iDAR system "is built for speed first and foremost." While typical LiDAR systems fail to identify potential hazards quickly, AEye's Intelligent Detection and Ranging (iDAR) system creates point cloud data called “Dynamic Vixels” which enable flexible, intelligent, and faster detection for autonomous vehicles.
TechCrunch

TechCrunch Reports on AEye’s $40M Series B Funding Led by Taiwania Capital

TechCrunch announces AEye's close of Series B funding. Led by Taiwania Capital and including returning investors Kleiner Perkins, Intel Capital, Airbus Ventures, and Tyche Partners, the artificial perception pioneer and creator of iDAR raised $40 million, bringing its total funding to roughly $61 million.
eeNews Europe

eeNews Europe Examines AEye’s Ground-Breaking, New Sensor Data Type: Dynamic Vixels

Dynamic Vixels strengthen AEye's biomimetic approach to visual perception, enabling vehicles to see and perceive like humans do “to better evaluate potential driving hazards and adapt to changing conditions.”
FutureCar

FutureCar Provides an In-Depth Look into How AEye’s AI-Based Perception System Can Become the ‘Eyes’ of Self-Driving Cars

FutureCar sits down with AEye’s Lead Strategist, Jordan Greene, to learn how AEye uses computer vision and artificial intelligence to mimic the advanced processes of human perception.
WardsAuto

WardsAuto Highlights AEye’s Next-Gen LiDAR System

AEye founder and CEO, Luis Dussan, tells WardsAuto how iDAR “is a step beyond today’s LiDARS systems.” Unveiled at CES 2018, AEye's software-definable, iDAR technology is “a new form of intelligent data collection that enables rapid, dynamic perception and enhanced path planning.”
Digital Journal

Digital Journal Asks: “Will agile sensor technology surpass LiDAR”?

New sensor technology by AEye, which specializes in artificial perception, aims to combat key safety concerns regarding the development and mainstream adoption of autonomous vehicles.
MIT Technology Review

MIT Technology Review Dives Deep into Why AEye’s Sensors Give “Driverless Cars a Human-Like View of the World”

"AEye, has built a new kind of hybrid sensor...that allows the system to prioritize where it’s looking in order to give vehicles a more refined view of the world." – MIT Technology Review
TheDrive

The Drive Reports on AEye’s Mission for Self-Driving Cars to Perceive the World Like Humans

In AEye’s revolutionary iDAR system, LiDAR and camera work together to achieve better results through intelligent, selective scanning — a key aspect of human perception.
CleanTechnica

CleanTechnica Sits in on AEye’s LiDAR Demo

CleanTechnica reports on the successful completion of AEye’s live demo of its software-extensible iDAR system in an urban environment.
Wall Street Journal

The Wall Street Journal Announces Close of AEye’s $16 Million Series A with Funding from Kleiner Perkins Caufield & Byers, Airbus Ventures, Intel Capital, Tyche Partners, and Others

AEye, which differentiates itself from competing artificial perception systems for autonomous vehicles by fusing agile LiDAR with a high-resolution, low-light camera, has raised $16 million in Series A financing led by Kleiner Perkins Caufield & Byers. Other participates include Airbus Ventures, Intel Capital and Tyche Partners.