Uhnder, Inc.’s Post

While it’s becoming more known that #LiDAR technology has the ability to shape the future of automotive safety and vehicle navigation, there is still some confusion as to the best scenario to use direct detection or coherent detection. indie’s recent whitepaper explores the differences between these two methods in LiDAR systems. For example, direct detection uses pulsed lasers and is relatively simple in terms of processing requirements, making it more suitable for short-range applications. Coherent detection, such as FMCW, involves continuous laser modulation and offers advantages in measuring velocity, precision, and interference immunity but requires more complex signal processing. Read more here: https://bit.ly/45Kw4N5 #autotech #indiesemi #whitepaper #coherentdetection #fmcw

Which has a greater advantage？ the number of LiDAR sensors or their resolution (number of beams)？ Lets see how LiDAR working encounters a scenario with many children leaving school, if it hits even one child, life is over. Currently, the tri-LiDAR configuration is represented by Avatr, which is equipped with three 96-beam LiDARs positioned at the front and on both sides, using Huawei’s ADS intelligent driving system. In contrast, AITO, which also uses Huawei ADS, only has one front-facing LiDAR but with 192 beams. In terms of individual sensor quality, more beams are certainly an advantage. However, real-world extreme test cases from Avatr users are more common, such as driving on a highway at night with no lights, avoiding poles, dodging asymmetric concrete blocks, debris thrown by cars ahead, and even reacting to pedestrians suddenly crossing the road. please watch the video: https://lnkd.in/gxHQiUMw

This is wiiiild! Forget lidar. Here comes 4D Radar 🔥 bitsensing Inc. recently shared this footage of their 4D radar output. It’s amazing to see how much radar has progressed lately: - dramatically improved resolution - no visual impairment by rain or fog as opposed to optical sensing modalities What do you think about 4D radar. Will 4D Radar eat up a significant proportion off of 3D lidar addressable market?

🚗 #ROADSAFETY | When it comes to safer roads, a radar is just the beginning. With advanced radar, LiDAR, and AI-powered video analytics, IDEMIA Public Security's multi-modal road safety solutions deliver unparalleled accuracy and reliability. Discover how our technology is reducing accidents and making cities safer for all ➡️ https://lnkd.in/eygp_v_Z

🔧 Teardown, assembly and cost analysis - Robosense M2 LiDAR for Chery Exceed ES After analyzing the Robosense M1 LiDAR, we turned our attention to the LiDAR Robosense M2. #LiDAR is a remote obstacle detection #technology that uses laser beams to measure distances and precise movements in real time. In the case of the Robosense M2, it can measure distances of up to 250m. During our analysis, we discovered that the main SoC is the Xilinx XAZU3EG, which is an evolution of the XAZU2EG found in the LiDAR M1. This shows that Robosense has succeeded in improving product performance while reducing the size and weight of the #system, as well as the number of boards, which was 6 for the M1 compared to 3 for the M2. Interestingly, this LiDAR can be found in more than twenty car models! 👉 Discover more https://lnkd.in/eChz63Mb

Join panel experts from Fraunhofer-Institut für Windenergiesysteme, DNV and Vaisala who’ll talk about the emerging use cases for scanning lidar, including advantages in complex terrain and how to increase the accuracy of Turbulence Intensity measurement. #WindCubeScan #lidar #bankability

⏰ Time for new features in the field of sensor simulation software? We think so too! 😎 Look forward to the new 𝗔𝗨𝗥𝗘𝗟𝗜𝗢𝗡 𝘃𝗲𝗿𝘀𝗶𝗼𝗻 𝟮𝟰.𝟮 with essential features across camera, radar, and lidar sensors. The following highlights await you with the new version: • Configurable principal point for camera sensors 📷 • Obscured vehicles in radar sensors 🚘 • Support for fog in lidar sensors 🌫 • Automatic generation of highway 3D scenes and guard rails 🏙 … and much more! Discover all new features here👉 https://ow.ly/8yij50SCXoo More information about AURELION 👉 https://ow.ly/6MZo50SCXop #AURELION #sensorsimulation #autonomousdriving #autonomousvehicles #ADAS #dSPACE

This radar sensor is crazy 🤯 Have you ever seen 4D radar data? Now you have. 4D radar offers insane resolution. The „pointcloud“ remembers of sth lidar like. But radar data is very different. The angular resolution is limited compared to lidar. Do you know how the vertical resolution revolution compares?

New in R2024b: Simplify vehicle tracking with the task-oriented approach! Configure your track to fuse RADAR, LIDAR, and camera data with minimal expertise using the Sensor Fusion and Tracking Toolbox. #MATLAB #ADAS #AutonomousVehicles #SensorFusion https://spr.ly/6041qaMH9

LIDAR sensor anti-interference test - We connected 5 LIDAR sensors at the same time to test the anti-interference time of Hinson DE LIDAR sensor to see what effect was achieved?