Omer David Keilaf’s Post

sensor Fusion between Lidar and IR Camera

With the LiDAR & Vision sensors, Blix navigates through trees and effortlessly avoids obstacles. Satellite signal loss is no longer a problem! Discover more advanced features of #sveaverkenblix: https://bit.ly/3xgCZ5z

Ever wondered what it’s like to see the world as a lidar? Well, here’s your chance! In this video, you can see raw point cloud data from an Ouster lidar. Hundreds of thousands of points, all working together—just like us in the office (you can even spot someone walking through). But Accur8vision isn’t just watching dots dance! We filter this data, group it into objects using our Snapshot system, apply further filters based on size and speed, and classify what we see. Finally, we visualize the objects with precise bounding boxes on our 3D maps. It’s how we turn chaos into clarity. So while lidar captures a sea of points, we bring structure to the chaos. And let’s be honest, who doesn’t appreciate a bit of smart sorting? #Accur8vision

Hear how Shahab Khokhar explains the difference between 1550 nm and 905 nm wavelength #LiDAR! 📡 His insights highlight why choosing the right wavelength is critical for performance and safety. Don't miss out on this valuable knowledge! 🗨️

Ever wonder what LiDAR looks like? LiDAR utilizes near-infrared light to detect and range, in this case, hundreds of thousands of points per second; producing a point cloud. With the new H30T's near-infrared imaging capabilities, Van Dinh and I captured the laser emission from a handheld LiGrip H300. The new sensor used for this experiment visualized the scan pattern associated with rotary LiDAR systems, and can be used to capture other forms of IR light that the human eye is unable to distinguish.

Nice example of how the IMU in the latest liDAR sensors from SICK works. This example shows how point cloud data is generated whilst walking around an empty building and randomly changing the orientation of the sensor. This video was created using our MultiScan1xx sensor. https://lnkd.in/gZUw7Frq You can see the sensor Axis shifting, allowing for capture of complex detail. #3Dmapping #3DliDAR #IMU

Want to better understand lidar performance? Watch our on-demand webinar where we cover common targets, how range measurements can be represented, how precision and accuracy are measured, and how precision relates to the range of a lidar sensor. Check it out here: https://lnkd.in/enXVjtqr

LIDAR vs Visual SLAM: LIDAR-based SLAM: Offers high-accuracy mapping due to the precision of LIDAR sensors, which are effective in low-light and dynamic conditions. Hector SLAM and Cartographer are popular LIDAR-based SLAM solutions. Visual SLAM: Cheaper and lightweight as it relies on cameras but is more susceptible to environmental conditions like lighting. Popular visual SLAM frameworks include ORB-SLAM2 and LSD-SLAM.

What does LiDAR stand for? LiDAR is an acronym for Light Detection and Ranging. In LiDAR, laser light is sent from a source (transmitter) and reflected from objects in the scene. The reflected light is detected by the system receiver and the time of flight (TOF) is used to develop a distance map of the objects in the scene https://lnkd.in/gEq-Cnyj.

AEye's Apollo LIDAR dazzles in field testing at 1 kilometer! We've been out in the field this summer putting AEye's Apollo lidar system through its paces. Our customers and partners are impressed by what they see. Collecting high resolution data at very long distances is critical to improving automotive safety and other applications, such as security where our Apollo lidar is the perfect complement, or replacement for camera-based imaging systems, coupled with AI based decision making. Simply put, AI systems require high resolution data across a broad field of view to identify objects and threats from afar, and quickly react. This is especially important for motor vehicle safety when travelling at high speeds. Providing such high resolution at long distances requires clever software algorithms built on an optics system that is capable of collecting a lot of photons (light). AEye’s Apollo is built on a unique architecture that decouples the optics between the laser scanner and receiver (like a telescope with a very large aperture) that maximizes light collection. This is a key component of our SmartScan architecture that delivers best-in-class automotive-grade performance and reliability in the smallest form factor. Take a look at the attached video where Apollo renders a high-resolution traffic scene out to 1 kilometer and beyond and we know you'll be as impressed as our customers were.