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, such as: extending the metric of frame rate to include intra-frame object revisit rate; expanding resolution to capture instantaneous enhanced resolution; and enhancing detection range to reflect the more critically important object classification range.
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 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.
I came to AEye from a Tier 1, so I know what goes into developing an automotive grade sensor, and the AEye team is made up of people from all over the automotive industry that have great, diverse insight into how to bring a product to market.
I was part of the microprocessor design team at Intel in the early 2000s. For the second Grand Challenge, Stanford University teamed up with Intel and VW to build the winning car: Stanley. I got involved in the project and, ultimately, in AVs, because I felt that the Grand Challenge was cool and interesting, and a clever and effective way to develop AV technology.
Advanced ADAS solutions and, eventually, fully autonomous vehicles, will be the most important transportation technology innovation event in my lifetime – and I knew that I needed to be a part of it.
Only iDAR brings intelligence to the sensor layer. By fusing 1550 nanometer, solid-state agile LiDAR with a low-light HD camera, CV algorithms, and embedded AI - at the sensor - iDAR filters out the most important aspects of a given scene. With iDAR, the vehicle’s perception system can target only the salient 5% of data it needs to safely navigate. Watch how.
AEye values integrity, innovation, and a dedication to change the world by bringing sensible, problem-solving ADAS and Mobility perception solutions to market. Will you join us in building a safer future?
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...