Self-Driving Cars Archives

DesignNews Spotlights AEye President Blair LaCorte’s Press Conference at AutoMobility LA

Chris Wiltz of DesignNews chronicles AEye President Blair LaCorte's AutoMobility LA 2019 press conference where he discusses how iDAR enables autonomous vehicle sensing technology to “out-perceive the human eye” using biomimicry, iDAR's motion forecasting ability, and how AEye's technology is similar to the Indoraptor from “Jurassic World: Fallen Kingdom.”

Ride by Kelley Blue Book Names AEye “Top 6 New Mobility Innovations” at the 2019 Los Angeles Auto Show

Marcus Amick of Ride by Kelley Blue Book calls AEye's new 2D/3D perception sensor system, iDAR, one of the "most interesting tech innovations" featured at the AutoMobility summit. At their outdoor exhibition, AEye demonstrated how iDAR can "search, acquire, classify, and track" objects by combining agile LiDAR, camera, and AI in the sensor.

TU Automotive Europe – October 29-30, 2019

October 29–30, 2019 | TU Automotive Europe | Munich, Germany October 29th, 11:20-11:50am | The State of Self Driving – How to Solve Perception Through Intelligent Sensing Speaker: Peter Szelei – Director Of Business Development, AEye

Do you believe you’re a better driver than an autonomous car?

According to ANSYS’ Global Autonomous Vehicles Research Report, 71% of consumers believe that autonomous cars are already better drivers than humans – or will surpass human abilities by the year 2029.

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.

The Human Classification Framework: Search, Acquire, and Act

These basic steps of classification are replicated in iDAR, which mimics how the human visual cortex conceptually focuses on and evaluates the environment, driving conditions, and road hazards by pushing intelligence and processing to the edge of the network.

IAA Conference – September 12-22, 2019

September 12–22, 2019 | IAA Conference | Frankfurt, Germany

AEye: Developing Artificial Perception Technologies That Exceed Human Perception

While conventional LiDAR sensors on autonomous vehicles average around a 10Hz frame rate and revisit rate, iDAR sensors can achieve a frame rate in excess of 100Hz (>3x human vision), and an object revisit rate of >500Hz.

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.

Rethinking the Three “Rs” of LiDAR: Rate, Resolution and Range

Conventional metrics used for evaluating the performance of LiDAR for autonomous vehicles (such as frame rate, full frame resolution, and detection range) do not sufficiently address the challenges facing autonomous driving. In response, AEye proposes three new metrics for extending LiDAR evaluation, including: extending the metric of frame rate to include object revisit rate; expanding resolution to capture instantaneous resolution; and extending detection range to reflect the more critically important object classification range.