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More complex project example - • L2 surface model extra...
The L1 has been a solid player since 2020, but it's had its share of quirks, especially with IMU calibration and accuracy issues 🤔. Now, enter the L2 - DJI's latest marvel. It's like stepping into the future with its incredible 5 cm accuracy at a lofty 150 meters! For the tech-heads out there, that's some serious performance stats 📊🚀.
I took both sensors out for a real-world test on a DJI M350 drone, surveying the same street to see how they stack up. The L1, despite being older, still packs a punch with its ability to capture three data returns per pulse, making it a champ in wooded areas 🌳🌲. The L2, though, takes it up a notch with five returns and a mind-blowing 1.2 million points per second. Talk about data overload!
Tech specs-wise, the L1 needs some warm-up time for IMU calibration and operates at a max of 160 kHz. The L2, on the other hand, is ready to roll right off the bat and pushes the envelope with a 240 kHz sampling rate 📈.
After running the sensors through their paces with 43 checkpoints, I used DJI Terra software for an in-depth look at the point clouds and noise levels. Both sensors are top-notch, but the L2 shows a slight edge in reducing noise, which is a big deal for us in precision mapping 🌍📍.
So, what's my takeaway? While the L1 and L2 are awesome tools, the L2 shows real promise for handling more complex surveying tasks. This comparison has been a hit among our tech community, sparking lots of interesting chats and insights 💬🔥.
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Chapters:
0:00 Intro
0:13 L1 vs L2 Specifications
1:42 Data Collection - M350 with L1
5:15 Data Collection - M350 with L2
9:52 Analyzing data from L1 on DJI Terra
12:34 Analyzing data from L2 on DJI Terra
14:31 RMS errors for L1 and L2 data
#DJIL2 #Surveying #LiDAR