As IR sensor technology advances and costs fall, there is growing momentum for the adoption of LiDAR in cars. https://lnkd.in/e5jv_Eyx
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We deep dive into how LiDAR is paving the way for the automotive industry in Southeast Asia and what it means for the region
We deep dive into how LiDAR is paving the way for the automotive industry in Southeast Asia
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In the ongoing race to propel an autonomous future, the competition has been fierce among suppliers, OEMs, and automakers to create the technical hardware and software tools to advance late stages of autonomy. Originally camera-centric sensors were thought sufficient to serve as the eyes of these self-driving machines. However, in recent years one technology has emerged as the clear winner: Light Detection and Ranging – LiDAR. LiDAR’s functional advantages have called the primacy of camera-centric sensor technology into question. It’s not enough for AVs to mirror the natural awareness of human drivers – it needs to exceed it. LiDAR systems, coupled with accompanying software solutions, offer automakers the most viable means to make autonomous driving a reality. Opinion by Avishay Moscovici, Chief R&D Officer, Innoviz https://lnkd.in/dhiyjpZH
LiDAR Won the AV War
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Automotive Lidar Market Size, Share, Trends & Competitive Analysis Global Report 2024-2032 Read Full Report@ https://lnkd.in/dKuW5zEU The global Automotive Lidar Market size was valued at USD 0.5 Billion in 2023 and is projected to expand at a compound annual growth rate (CAGR) of 20.2% during the forecast period, reaching a value of USD 3.04 Billion by 2030. Automotive LiDAR, or Light Detection and Ranging, is an advanced sensing technology crucial for autonomous vehicles. Unlike traditional radar, which uses radio waves, LiDAR operates by emitting laser pulses to measure distances with exceptional accuracy. Mounted on vehicles, LiDAR systems create high-resolution 3D maps of the surrounding environment, enabling real-time detection and recognition of objects such as pedestrians, vehicles, and obstacles. By providing precise depth information, Automotive LiDAR enhances the vehicle's perception capabilities, making it a vital component for safe and reliable autonomous driving systems. As automakers and tech companies race to develop self-driving cars, the need for advanced sensing technologies like LiDAR is increasing rapidly. Additionally, stringent safety regulations and the emphasis on reducing road accidents are driving the adoption of Automotive LiDAR systems. Furthermore, the declining cost of LiDAR technology and the increasing focus on enhancing vehicle safety features are expected to fuel market growth in the coming years. #AutomotiveLiDAR #LiDARTechnology #AutonomousDriving #VehicleSensing #LiDARSensor #AdvancedDriverAssistance #LiDARApplications
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Waymo's LiDAR Technology: A Comprehensive Look at Its Safety and Efficiency As a Waymo enthusiast, my friends often ask me about the safety of autonomous vehicles. Recently, concerns have resurfaced about the potential risks LiDAR might pose to passengers and pedestrians. In the Waymo Jaguar I-Pace, there are four LiDAR sensors strategically placed for comprehensive 360° coverage: one at the front, two on the sides, and one at the rear. These LiDAR sensors are part of a larger sensor suite that includes six radar units and fourteen cameras, ensuring strong detection capabilities at various ranges and speeds. While the total number of sensors in the Jaguar I-Pace is 32, the four LiDAR units themselves have remarkably low energy output. To put this into perspective, even if a vehicle were equipped with 1,000 LiDAR sensors, their total energy output would be equivalent to that of a single car headlight. This comparison shows not only the efficiency of Waymo's LiDAR technology but also its inherent safety. LiDAR sensors operate in the infrared spectrum and are classified as Class-1 lasers according to FDA standards, the safest category. This classification is shared with everyday devices like CD players and LED lights, ensuring they are harmless to human eyes and skin under normal usage conditions. This safety feature is important, given the proximity of these sensors to passengers and pedestrians. Waymo also collaborates with global standards bodies to ensure their LiDAR systems meet rigorous safety criteria under various environmental conditions. For individuals outside the vehicle, the risk of exposure to harmful LiDAR emissions is negligible due to low energy levels and rapid dissipation over distance. The advanced sensors not only ensure robust detection and navigation capabilities but also support Waymo's high-resolution mapping for autonomous navigation—underscoring their commitment to innovation and public safety. If you notice any inaccuracies in this post or have additional insights, please provide citations in the comments below and I will update my post accordingly. Thank you for helping enhance the accuracy and depth of this discussion. #Waymo #LiDAR #AutonomousVehicleSafety
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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
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Lidar has been heavily debated in the autonomous driving world. Here are five reasons why it's not the game-changer some think it is: 1. Cost: Lidar systems are expensive, making it impractical for mass-market implementation. 2. Weather Limitations: They struggle in poor weather conditions like rain, fog, or snow which undermines reliability. 3. Complexity: Integrating lidar with other sensors adds unnecessary complexity to the vehicle's system. 4. Power Consumption: Lidar systems consume considerably more power compared to camera-based solutions. 5. Redundancy Issues: Dependence on lidar can make vehicles less adaptable if the technology fails. It's clear that while lidar has its advantages, it also comes with significant drawbacks. That's what I read in every other post. I personally think most of those points are heavily outdated (e.g. cost is down, weather limitations are less compared to camera). What do you think?
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🚗💡 Did you know the technology that helps your car see might also be watching you? Explore how lidar and radar, key technologies for autonomous driving, might be used for more than just navigation. In my latest blog post, I will uncover the potential for surveillance through these advanced systems and what it means for our privacy. Don't miss out on understanding these hidden aspects! 👉 Read the full article here: https://lnkd.in/gJt_Q_Db #Lidar #Radar #AutomotiveTechnology #PrivacyProtection #TechInnovation #NationalSecurity
The Invisible Eyes: How Lidar and Radar in Vehicles Could Be Used for Surveillance - ShyftLogic.
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Across the country, we are experiencing more extreme weather. What does this mean for autonomous vehicle localization and safe, driverless navigation? 1. Reduced visibility due to heavy snowfall and blowing snow. This can impact the performance of optical sensors, like cameras, which rely on clear visibility to capture and interpret their surroundings. 2. Compromised LiDAR performance may be compromised by interference with the laser beams emitted by LiDAR, affecting their accuracy and range. 3. GPS signals can be weakened or disrupted during severe weather conditions. This is particularly relevant for autonomous vehicles that heavily depend on GPS for localization. GPR Ground Positioning Radar uses subsurface data to localize vehicles, data that is protected by the ground and remains reliable regardless of weather and surface conditions. Watch a GPR-equipped vehicle maintain lane-level localization with limited visibility, in blizzard-like conditions. Reach out to learn more about integrating GPR technology into your operations. https://lnkd.in/eHFSXfnw
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Here is an interesting article that I found. Researchers found that LiDAR sensors, crucial for navigation, can be tricked by targeted laser attacks. This could lead to the car misinterpreting its surroundings, causing sudden braking or even crashes! What are your thoughts on this? Is this a major hurdle for autonomous vehicle development, Should LiDAR be replaced by cameras, or can engineers develop more robust LiDAR systems resistant to these attacks? #LiDAR #selfdrivingcars #transportation #engineering
LiDAR hack proves self-driving safety isn't guaranteed - Interesting Engineering
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