Keijo Koivu’s Post

Enhancing Automotive Safety with ADAS Using LiDAR and RGB Fusion we are revolutionizing automotive safety with our advanced driver-assistance systems (ADAS) that integrate LiDAR and RGB fusion technology. Here’s a glimpse into how our cutting-edge solutions are reshaping the future of driving: Challenge: a leading automotive manufacturer, sought to enhance the safety features of their latest vehicle models. They aimed to integrate state-of-the-art technology that could accurately perceive and respond to the surrounding environment in real-time. Solution: I proposed a comprehensive ADAS solution leveraging LiDAR (Light Detection and Ranging) sensors combined with RGB (Red, Green, Blue) cameras. This fusion of technologies allows for precise 3D mapping of the vehicle's surroundings, enabling robust object detection, distance estimation, and environment recognition capabilities. Implementation: LiDAR Integration: High-resolution LiDAR sensors were strategically installed around the vehicle to provide accurate depth perception and object identification. RGB Camera Fusion: RGB cameras were synchronized with the LiDAR data to capture detailed color images of the environment. This fusion enhanced the system’s ability to differentiate between objects and interpret complex scenarios. Sensor Fusion Algorithm: algorithm processed the data from LiDAR and RGB inputs in real-time, generating a unified and comprehensive understanding of the vehicle’s surroundings. Results: Enhanced Safety: The integrated ADAS significantly improved the vehicle’s ability to detect pedestrians, cyclists, and other vehicles, even in challenging lighting and weather conditions. Accurate Navigation: Precise 3D mapping facilitated better lane-keeping assistance, adaptive cruise control, and collision avoidance systems, ensuring a smoother and safer driving experience. User Satisfaction: Positive feedback from test drivers highlighted increased confidence and comfort while driving, thanks to the intuitive and responsive ADAS features. Conclusion: By harnessing the power of LiDAR and RGB fusion technology, our ADAS solution not only meets but exceeds industry standards for safety and performance. I remain committed to driving innovation in automotive technology, empowering manufacturers and drivers alike to embrace a safer and smarter future on the road. Interested in learning more about our ADAS solutions? Reach out to me today to explore how we can tailor our technology to meet your specific needs and elevate your automotive offerings. #ADAS #AutomotiveSafety #LiDAR #RGBFusion #InnovationInTech #SmartDriving #FutureOfMobility #CaseStudy

Automotive Lidar Market Size, Share & Trends Analysis Report By Technology (Mechanical LiDAR, Solid-state LiDAR), By Range (Short- & Mid-range, Long-range), By Application (Semi-Autonomous Vehicle, Autonomous Vehicles), By Vehicle Type (Internal Combustion Engine (ICE), Electric & Hybrid), COVID-19 Impact Analysis, Regional Outlook, Growth Potential, Price Trends, Competitive Market Share & Forecast, 2022 - 2028 The Automotive LiDAR Market is an essential segment of the automotive technology industry, focusing on the development and application of Light Detection and Ranging (LiDAR) systems in vehicles. LiDAR is a remote sensing method that uses laser light to measure distances, creating high-resolution maps of the surrounding environment. This technology is crucial for advanced driver-assistance systems (ADAS) and autonomous vehicles, enhancing safety and enabling various automated functions. IMIR Market Research Pvt. Ltd. 𝐆𝐞𝐭 𝐭𝐡𝐞 𝐬𝐚𝐦𝐩𝐥𝐞 𝐜𝐨𝐩𝐲 𝐨𝐟 𝐭𝐡𝐢𝐬 𝐩𝐫𝐞𝐦𝐢𝐮𝐦 𝐫𝐞𝐩𝐨𝐫𝐭: https://lnkd.in/dU5nHzWb 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐢𝐧 𝐭𝐡𝐞 𝐦𝐚𝐫𝐤𝐞𝐭: Aeva AEye, Inc. Aptiv Argo AI Autoliv Baraja Benewake (Beijing) Co., Ltd. Blickfeld CeoTronics AG Cepton Continental DENSO FARO Technologies Faurecia First Sensor FORVIA HELLA. Hesai Technology Ibeo Automotive Systems GmbH Infineon Technologies Innoviz Technologies LUMIBIRD : the specialist in laser technologies Luminar Technologies Magna International MicroVision® Mira Solutions srl Neptec Technologies Corp Ouster Phantom Intelligence Robert Bosch India Limited,Bangalore RoboSense Schaeffler TE Connectivity Teledyne Technologies Incorporated Texas Instruments Valeo VELODYNE TECHNOLOGIES XenomatiX - TRUE SOLID STATE LIDAR ZF Group #lidar #iphone #d #gis #dscan #geospatial #pro #mapping #laserscanning #uav #drone #pointcloud #photogrammetry #architecture #drones #plus #bim #surveying #realitycapture #maps #digitaltwin #geospatialtechnology #ai #blender #dmapping #survey #dscanning #uas #dmodeling #digitalart

LiDAR (Light Detection and Ranging) technology transforms industries, from autonomous vehicles to environmental monitoring. The systems rely on precision, durability, and custom-made components to accurately measure distances and create detailed 3D maps. This technology demands meticulous precision, making design costs a critical concern. Manufacturers in the LiDAR sector lean on photochemical etching when producing thin metal precise parts and components because the process is cost-effective, exact, and efficient. PCM also offers manufacturers greater material flexibility and can achieve tight tolerances. Here's how PCE helps with LiDAR components: #Fotofab #LiDAR #LightDetectionAndRanging #PrecisionTechnology #CustomComponents

At this year's CES, ASENSING really turned heads with their new A2 LiDAR sensor. It's small, adaptable, and won't break the bank. It's ready to hit the production lines, designed for everything from self-driving cars to robots. The buzz is all about LiDAR's precision, outshining other sensors. With the LiDAR market set to explode, this is definitely something to look out for. #AutomotiveIndustry #LiDAR #SelfDrivingCars https://lnkd.in/eJpbCjm4

Exploring LiDAR's Role in Revolutionizing Autonomous Vehicles For More Information, Get PDF Copy: https://lnkd.in/dYtS7gQ8 LiDAR (Light Detection and Ranging) technology is reshaping industries by offering unprecedented precision in mapping and 3D imaging. From autonomous vehicles to construction and urban planning, LiDAR captures highly accurate distance measurements by using laser pulses to create detailed, real-time 3D models of any environment. It’s transforming how we visualize and interact with the world around us. Driving the Future of Autonomous Vehicles: LiDAR is the backbone of self-driving technology, enabling vehicles to detect objects, navigate complex environments, and make split-second decisions with exceptional accuracy. With its ability to function in various lighting and weather conditions, LiDAR ensures enhanced safety and reliability, moving us closer to a future where autonomous transportation is the norm. Applications Expanding Across Industries: From mapping forests to improving agricultural efficiency and aiding in disaster management, the applications of LiDAR extend far beyond transportation. Its capability to provide detailed 3D imaging is helping industries gain deeper insights into topographies, ecosystems, and infrastructure, fueling innovations in everything from smart cities to climate research. #LiDAR #AutonomousVehicles #Innovation #3DMapping #SmartCities #FutureTech #TechInnovation

What do you ned to know about emerging thermal camera technology and SWaP-C for dual use applications? How can SWAP-C Principles Enable Inexpensive High-Definition Thermal Imaging Cameras? Compact thermal cameras are suitable for applications involving automated inspection, autonomous vehicles, drones, and monitoring of production equipment. Two considerations drive the selection of cameras for volume applications—performance and the burden on resources including limits on accommodating size, weight, power, and cost. For visible-band cameras, both monochrome and RGB, the demands of their highest volume applications—machine vision, surveillance, mobile phones—have driven the performance up and the total resource burden down. Until recently, no application has placed similar demands on thermal cameras operating in the long-wave infrared (LWIR) band, but now, with the mandate from the U.S.National Highway Traffic Safety Administration (NHTSA) requiring all 2029 cars to include day/night automatic braking, the need for high performance, compact thermal cameras has become urgent. Thermal imaging has been available for almost 100 years, beginning with a two-pixel camera in 1929, cooled line-scan sensors in the 1960s, cooled area arrays in the 1970s and uncooled microbolometer arrays in the 1980’s. Today, the highest-performance thermal cameras (and most expensive) are cooled but smaller and cheaper uncooled cameras make up the vast majority of units in service. Even so, the cost of uncooled cameras is tightly tied to performance. The two most important factors are spatial resolution—the number of pixels in the array—and temperature resolution— the smallest difference in temperature in the scene that can be discerned. The variation in requirements for particular applications is substantial. Read this entire article at Vision Systems Design magazine - https://lnkd.in/gTE3wYNZ #thermalcamera #NTSHA #ADAS #highdefinationcamera #OwlAI

LIDAR vs. Radar: The Battle In the race to fully autonomous cars, two techs are leading the way: LIDAR and Radar. Each with it’s strengths and pitfalls. 𝗟𝗜𝗗𝗔𝗥 uses lasers to create detailed 3D maps, making it great for high-res object detection. Favoured by automotive giants like Mercedes-Benz AG, Volvo Group, Waymo, and BMW Group, especially for its precision in low-light conditions. 𝗥𝗮𝗱𝗮𝗿, uses radio waves to detect objects and measure speed and distance. It shines in bad weather (fog, rain, snow) and is more cost-effective. It has been a staple in the automotive industry for years used heavily by Tesla, especially within ADAS. 𝗞𝗲𝘆 𝗖𝗼𝗺𝗽𝗮𝗿𝗶𝘀𝗼𝗻𝘀: • 𝗥𝗲𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗔𝗰𝗰𝘂𝗿𝗮𝗰𝘆: LIDAR offers higher resolution and better object detection, ideal for identifying small objects and navigating complex environments. • 𝗪𝗲𝗮𝘁𝗵𝗲𝗿 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲: Radar excels in poor weather where LIDAR might fail. • 𝗖𝗼𝘀𝘁 𝗮𝗻𝗱 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Radar is cheaper and easier to integrate into existing vehicle systems, making it attractive for widespread adoption. • 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻: LIDAR is used in high-level autonomous systems for where detailed mapping is crucial; Radar is used in lower-level object detection and collision avoidance. The future might not be LIDAR vs. Radar, but both together. Sensor fusion—combining data from LIDAR, Radar, and cameras—could be the best solution. How do you see the balance between these technologies evolving? #AutonomousDriving #LIDAR #Radar #AutonomousVehicles #SensorFusion

Dependable and secure vehicle systems are crucial for achieving business success in the automotive industry. Our latest #PhotonicsFrontiers article explores how Hamamatsu Photonics Europe's advanced lidar technology enhances reliability and safety in ADAS and autonomous driving systems. Discover how these innovations can drive your business forward by providing dependable and secure vehicle systems. Stay ahead in the competitive market with cutting-edge solutions. #ADAS #AutonomousDriving #Lidar #HamamatsuPhotonics

On the 9th, LG Innotek announced the development of a 'high-performance LiDAR', which boasts a detection range three times greater than previous versions, even under worsening weather conditions. LG Innotek rolled up its sleeves to aim for the ADAS (Advanced Driver Assistance Systems) LiDAR market with its high-performance LiDAR product line-up and business capabilities at the forefront🚗 LiDAR allows for measuring the distance from a vehicle to an object, as well as gathering 3D information about the object. As autonomous driving technology advances, LiDAR is gaining recognition as a crucial component for ADAS. Most importantly, LiDAR is praised as having the highest performance among sensing components for vehicles because it can accurately identify situations that even cameras and RADAR cannot detect due to technical limitations🙌 Despite its superior performance, LiDAR has a drawback of reduced detection distance due to the scattering of light in worsening weather conditions such as snow and fog. LG Innotek has helped to overcome these limitations with its proprietary technology, developing a 'high-performance LiDAR' that maintains excellent detection performance even in adverse weather conditions✨ LG Innotek's 'high-performance LiDAR' can detect objects up to 250m away, providing information at a consistent high resolution from all viewing angles, rather than just from a specific angle. It can accurately detect the movement of a person 45m away even when there is extreme fog with a visible distance of 2m. To achieve this performance, LG Innotek applied shortwave infrared rays instead of near-infrared rays used in conventional LiDARs. Shortwave infrared rays are less affected by light scattering due to their longer wavelength compared to near-infrared rays. Please look forward to LG Innotek's next steps as it aims to leverage its No.1 DNA accumulated in smartphone camera modules to 'sensing solutions for vehicles'! #LG #LGInnotek #LiDAR #HighPerformanceLiDAR #ADAS #AdvancedDriverAssistanceSystems #SensingSolution

Facing challenges in ensuring reliable sensor performance at high speeds and in unpredictable environments? Our latest #PhotonicsFrontiers article uncovers how lidar technology addresses these issues, crucial for ADAS and autonomous driving systems. Discover how Hamamatsu Photonics Europe' cutting-edge solutions can enhance your vehicle's reliability and safety. Learn more to stay ahead in the competitive automotive industry! #ADAS #AutonomousDriving #Lidar #HamamatsuPhotonics