Recent papers have presented a number of marketing claims about the benefits of Frequency Modulated Continuous Wave (FMCW) LiDAR systems. As might be expected, there is more to the story than the headlines claim. This white paper examines these claims and offers a technical comparison of Time of Flight (TOF) vs. FMCW LiDAR for each of them. We hope this serves to outline some of the difficult system trade-offs a successful practitioner must overcome, thereby stimulating robust informed discussion, competition, and ultimately, improvement of both TOF and FMCW offerings to advance perception for autonomy.
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 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.
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."
To make truly safe, autonomous vehicles, will we need to “teach” them empathy and compassion?
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.
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!
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.
The AEye 4Sight M sensor completes testing of random vibration of over 12Grms (5-2000Hz) on May 29, 2020. The tests were performed and certified by NTS at their facilities in Fremont, CA.
The AEye 4Sight M sensor completes 50g mechanical shock testing on June 5, 2020. The tests were performed and certified by NTS at their facilities in Fremont, CA.
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...