AEye Library
AEye’s most recent white papers, profiles, articles, videos, resources, and blog posts…
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.
The Future of Autonomous Vehicles: Part I – Think Like a Robot, Perceive Like a Human
The artificial intelligence that drives autonomous vehicles will require artificial perception that is modeled after the greatest perception engine on the planet — the human visual cortex.
AEye iDAR: Sensor Performance Validation Report (VSI Labs)
Based off of their findings, VSI Labs determined that AEye's iDAR system "can detect and potentially classify objects with enough precision, accuracy, and distance not possible with conventional LiDAR or camera sensors."
The Future of Autonomous Vehicles: Part II – Blind Technology without Compassion Is Ruthless
To make truly safe, autonomous vehicles, will we need to “teach” them empathy and compassion?
Elon Musk Is Right: LiDAR Is a Crutch (Sort of.)
Mr. Musk is right. Relying solely on LiDAR can steer autonomous vehicle companies into innovation cul-de-sacs.
AEye Team Profile: Viktoria Parker
It is exciting to be involved and fully engaged in so many areas of the company and to have the unique opportunity to set up processes and establish rules to help make it succeed. AEye has a very inspiring environment with brilliant minds and experts in their fields.
AEye Team Profile: Steven Wong
I decided to join the automotive industry because I wanted to learn more about it. I had heard a lot of great things about what vehicles will be like in the future, and working hands-on in the industry is a great way to learn about the future of automotive!
AEye Team Profile: Ove Salomonsson
LiDAR is the final sensor modality that is needed to make ADAS systems (and eventually full autonomy) work effectively in all conditions. LiDAR is more deterministic by nature, as it can detect and measure the distance to all objects. And with an agile LiDAR, such as AEye’s iDAR, this can be done incredibly fast with the added ability to classify objects and determine their velocity.
AEye Sets New Benchmark for LiDAR Range
Introducing 1KM AEye has set a new benchmark for LiDAR range. In performance specification tests monitored and validated by VSI Labs, AEye’s iDAR system acquired and tracked a truck at 1,000 meters – or one kilometer – five times the distance current LiDAR systems are able to detect! Watch now...
AEye and ANSYS: Simulation and Prototyping
AEye and ANSYS are accelerating autonomous driving safety by enabling virtual prototyping of iDAR™ to speed design, testing and validation of autonomous systems. By working with ANSYS, AEye is empowering partners and customers to simulate driving situations across millions of miles in just days, minimizing physical prototyping. Watch the demonstration of AEye's iDAR using the VRXPERIENCE and SPEOS elements of ANSYS Autonomy, showcasing hazard detection in a virtual world.
AEye and Tata Elxsi: Autonomous Vehicle
AEye's partner ecosystem is embracing and extending iDAR to accelerate innovation and the availability of autonomous features. AEye and Tata Elxsi have unveiled RoboTaxi, Tata Elxsi’s in-house concept demonstrator vehicle developed using AEye’s iDAR platform and Tata Elxsi’s autonomous stack. Watch a demonstration of the fully autonomous RoboTaxi vehicle, fitted with AEye’s iDAR, successfully encounter various scenarios, such as cross-traffic detection at a junction and round-about, follow the road ahead, and cueing the sensor with HD maps and V2X information.