Aeva’s Post

Nio's Breakthrough: In-House LiDAR Master Chip 'Nio Yangjian' Marks a Milestone in EV Tech Autonomy Nio, the electric vehicle manufacturer, is making significant strides in chip development as they filed a trademark application in China for their first in-house LiDAR master chip named "Nio Yangjian." The chip, model NX6031, will enter mass production in October.   This proprietary chip, developed by Nio's smart hardware team, features an 8-core, 64-bit processor with advanced capabilities for obstacle detection. It's expected to reduce costs by approximately $100 per vehicle. The chip is a product of collaboration with Innovusion, Nio's LiDAR supplier. All of Nio's current models are equipped with the latest NT 2.0 platform and Falcon LiDAR from Innovusion. Nio's chip development signifies a significant step toward self-sufficiency in key technologies. #Nio #Yangjian #LiDARmasterchip

Dive into Safety Tech in Manufacturing! Discover how these SICK's advanced 2D LiDAR, and 3D time-of-flight technologies ensure the safety of employees, products, and systems in industrial automation. Learn their unique strengths and make informed decisions for your safety needs! Read full article here: https://okt.to/cd9pVU

Following SWIFT ACT posts on Ladar, LiDAR, and Camera in our ADAS series posts, it's now time to talk about Ultrasonic technology and its role in automotive innovation. Stay tuned for upcoming SWIFT ACT posts where we'll explore Connectivity and Electrification in depth. #AutomotiveTechnology #SwiftActInsights #ADAS #Ultrasonic #Connectivity #Electrification #SwiftAct

A holistic review of direct and coherent LiDAR technologies.

Check out this Simulation Platform for sensors simulation course. https://lnkd.in/djm_AxT2 This course is designed to approach simulation-driven development of highly automated systems from both a latest and a future technology perspective. The course builds on standardization projects such as ASAM OpenX and covers software approaches to simplify participants' entry into the technology area. Learn how to simulate Radar , Camera and Lidar sensors for autonomous systems using SimX simulator. Learn to detect obstacles in lidar point clouds through clustering and segmentation, apply thresholds and filters to radar data. Process raw lidar data using Velodyne sensors with filtering, segmentation, and clustering to detect other vehicles on the road. Analyze radar signatures to detect and track objects. Calculate velocity and orientation by correcting for radial velocity distortions, noise, and occlusion.

📶 The Crucial Role of Antennas in GNSS Applications In the realm of Global Navigation Satellite Systems (GNSS), the significance of antenna selection cannot be overstated. Whether it's pinpointing locations accurately or ensuring seamless navigation, the choice of antenna plays a pivotal role in determining the success of GNSS applications. Antennas serve as the interface between GNSS receivers and satellite signals. Their design, orientation, and quality directly impact the reception and processing of signals, ultimately influencing the accuracy and reliability of the navigation solution. The right selection of a high-quality antenna can significantly enhance the performance of GNSS applications. Furthermore, multipath interference, caused by signal reflections from nearby objects, can degrade the accuracy of GNSS measurements. Antennas with advanced signal processing techniques, such as anti-jamming and anti-spoofing capabilities, can mitigate the effects of multipath interference and improve the robustness of the navigation solution. In GNSS applications where precision is paramount, such as autonomous vehicles, precision agriculture, and surveying, the importance of selecting the right antenna cannot be overstated. Even minor improvements in signal reception and processing can have a significant impact on the overall performance and reliability of these systems. In conclusion, the selection of the right antenna is critical in GNSS applications, as it directly influences the accuracy, reliability, and robustness of the navigation solution. Investing in high-quality antennas with advanced features can lead to improved performance and enhanced user experience in a wide range of GNSS applications. #dualfrequency #telit #antenna #L1L5 #highaccuracy

📆 YOLE GROUP PHOTONICS FORUM – CIOE 2023 | IMAGING & LIDAR FOR AUTOMOTIVE FORUM   👉 #Imaging and #LiDAR #sensors are crucial for #automated driving. This event presents applications and #technologies within the LiDAR #industry, and more specifically, automotive-oriented solutions. Within the next two years, more than 20 car models are expected to be released with at least one embedded LiDAR.   Our experts from Yole Group will bring you a series of presentations around this topic on September 6, 2023: 🎤 Zine B. BOUHAMRI from Yole Intelligence – “Navigating the future: illuminating the road ahead with LiDAR and automotive imaging” 🎤 Romain Fraux from Yole SystemPlus – “Automotive LiDAR Comparison: from Technology and Cost Point of View”   Stay tuned and find more information here: https://lnkd.in/diD5yvse

SENSORS: AEye, Inc. launches first #lidar solution in 4Sight Flex Family Lidar solutions provider AEye has introduced Apollo, the first product in its 4Sight Flex next-generation family of lidar #sensors. Apollo is designed to deliver range and resolution in a small and power-efficient form, for automotive and non-automotive applications. Matt Fisch, AEye's CEO, said, “We are pleased to announce the first product from the 4Sight Flex family a mere four months after unveiling the initial reference design. With Apollo, we are able to demonstrate the true advantage of our ultra-long-range lidar delivered in an incredibly compact form factor. This achievement underscores the scalability of our software-defined architecture.” Read more here: https://lnkd.in/gQmszndg #AutonomousVehicles #AV #SelfDriving #ADAS #AutonomousDriving #Automotive #AutomotiveIndustry #Transportation #Technology #FutureMobility #Sustainability #AVTExpoStuttgart #AVTExpoCA