Alex Black’s Post

Almost all OEMs get this 1 thing WRONG 🤯 It’s not about Lidar, Radar or Camera… I mean what’s the ultimate goal here? When it comes to ADAS and Autonomous driving. The ultimate goal is. Making our roads safer. Right? So what does making our roads safer mean? It means putting out technology, at scale. That reduces accidents, especially fatal ones. At scale! Because if you put tech out there that can avoid 99% of fatal accidents but only 3% of new cars have it on board. You’re ultimately achieving ca 3% overall safety gain. If you now put tech out there that avoids 30% of fatal accidents but 90% of new cars have it on board. That’s 27% safety gain. So why are we always discussing the nitty gritty details of which tech stacks ultimately made up the perfect ADAS solution? Where ultimately making systems incrementally better that reach the masses has the biggest impact?

n this rapidly evolving era, autonomous driving technology is leading us towards a safer and more efficient future. Today, I want to share an image illustrating how self-driving cars understand their surroundings through advanced perception sys As shown in the image, vehicles capture real-time road conditions and nearby dynamics through integrated sensors and cameras. These technologies include radar, LiDAR, and computer vision, all working together to ensure safe navigation under various traffic co As an Autonomous Driving Perception Manager, I am acutely aware of the complexities of these systems and their importance in enhancing road safety. Our goal is to continuously refine these technologies to make them more reliable and precise, creating a worry-free travel environment for drivers and ped What I'd like to discuss is how we can further enhance the intelligence and adaptability of these perception systems as technology ad #AutonomousDriving #PerceptionTechnology #FutureOfTravel #SafeDriving #Tec We look forward to the ideas and insights of our industry colleagues! Let's move self-driving technology forward together. 🚀

🚚🌐 Exciting Breakthroughs in Truck Technology at CES 2024! 🛣️✨ Sensor technology takes center stage, revolutionizing the automotive industry and paving the way for autonomous, electric, and connected vehicles! 🚛🔍 At CES 2024, companies showcased cutting-edge methods like radar, sonar, lidar, and cameras, with a focus on empowering vehicles to monitor surroundings and internal systems. Hesai Technology, a lidar solutions leader, stands out with features like adaptive cruise control and blind spot monitoring for heavy-duty trucks. 👁️🗨️ Benefits of sensor integration include improved safety, reduced driver fatigue, and the potential for autonomous capabilities. As technology becomes more affordable and easier to integrate, there's a growing trend towards incorporating sensor tech in both passenger cars and heavy-duty trucks. 🌐 Stay tuned for the future of smart, safe, and efficient vehicles! Follow New Light for more updates on the latest in sensor technology and automotive innovations. 🚀🔧 #CES2024 #SensorTech #AutomotiveInnovation #FollowNewLight 🌐📲 https://buff.ly/48bi2oV

Sensors are indispensable components in ADAS and autonomous driving vehicles for safety and comfort. Curious about what types of #ADAS sensors Rogers offers material solutions for? 🚗 Camera: Allows vehicles to see street signs and pedestrians at long distances. 🚗 Radar: Allows vehicles to see and measure the position and velocity of an object in comparison to the vehicle. 🚗 Ultrasonic Sensor: Gauges the distance between close-range objects and the vehicle. 🚗 LiDAR: Provides a 360-degree field of 3D vision by measuring the distance of various objects from the vehicle in all directions. 🚗 Far Infrared: Uses heat-sensing tech to detect people, animals, and other objects that radiate heat in any environmental conditions. Download our guide on Autonomous Driving Sensors Application to learn more: https://bit.ly/3WwVRr7

Hello Guys Today i have completed Kalman Filters in Autonomous vehicles Firstly What is Kalman Filter? Kalman Filter is the essential tool in autonomous vehicles for processing and predicting the state of dynamic system. They plays main role in sensor fusion, localization and path planning.A Kalman filter is an algorithm that estimates the state of a dynamic system Sensor Fusion : Sensor fusion is a combining Multiple Sensors in Autonomous Vehicles their are various sensors like Lidar, radar and 360 degrees Camera which indicate the path. Localization : Localization helps in identifying vehicle position their use track by using GPS. State estimation : Using Kalman filters sensors can easily estimate the position of vehicle , acceleration and predicting the future states of the vehicles. They continuously update state and enabling real time adjustment of the vehicle path's and behavior. Path Planning and Navigation : Kalman filter are used to predict the future states of vehicles and their environment. If their are missing path their can easily predict the vehicles.

Driverless Cars: The Future of Transportation Autonomous vehicles, are revolutionizing the way we think about transportation. Cutting-edge technologies that power these vehicles: 1. LiDAR (Light Detection and Ranging): Creates detailed 3D maps of the environment, allowing the vehicle to navigate complex terrains safely. 2. Machine Learning Algorithms: Process vast amounts of sensor data to make real-time driving decisions, enhancing safety and efficiency. 3. Computer Vision: Recognizes and interprets objects, pedestrians, and other vehicles, enabling the car to react appropriately to its surroundings. 4. GPS and Inertial Navigation Systems: Provide precise location tracking for accurate routing and positioning. These technologies work together to create a seamless driving experience, paving the way for a future where cars drive themselves. RoshAi follow Amir Mohd for latest update #AutonomousVehicles #DriverlessCars #Innovation #Technology

Information signs detection using Ultralytics YOLOv8 💙 Information signs detection is the process of identification and interpretation of signage and symbols in images or videos. It's essential for tasks like autonomous driving and navigation systems by using algorithms like YOLOv8. Advantages of information signs detection 😍 ✅ Safety boost: detects critical signs for accident prevention. ✅ Smooth navigation: efficiently interprets directional cues. Learn more ➡️ https://ow.ly/1h7f50RfWe5 #computervision #informationalsigns #objectdetection #yolov8

How the Cars of Tomorrow Will “See”: The Future of Lidar and Radar In recent years, Radar and Lidar technology have played a significant role in making cars safer and more autonomous. While full and widespread self-driving cars are still to come, current and expected advancements in sensor technology are doing their part to enhance the driver experience and bring us into the future. Here is an interesting article from Motor Trend discussing emerging sensor technology and the future of Lidar and Radar. https://lnkd.in/dmaYnsW3 MotorTrend Group #automotivetechnology #autmotive #futuretech #radar #lidar #automotiveindustry #cartechnology #autonomous #selfdrivingcars

I experienced my first ride in an autonomous car in San Francisco a few weeks ago. It is amazing how far autonomous vehicles have progressed from concept to ever day life experience. My ride was using LiDAR (Light Detection and Ranging) technology to synthesize a very accurate picture of the elements in its surroundings. What the car sensed was displayed on driver and backseat dashboards for the passengers to see as well. Being a scientist where detectable and life changing progress seems to happen more slowly and through more circuitous pathways, I am always fascinated by how fast advances in tech fields seem to occur. One field tries to put its arms around the inherent complexity and unpredictability of carbon-based systems and the other field sculpts from the more deterministic behavior of silicon-based systems...

The high beam light at night cause sun glare effect. High contrast light condition always a challenge for normal RGB camera.