Dhanalakshmi Rajendira Kumar’s Post

Autonomous vehicles are a breakthrough technology with their smart systems and driven by software applications. One software keeping AV's on the right 'track' is Sensor Fusion Software. 🚗 This software collates data from multiple sensors (like lidar, radar, and cameras) to get a more accurate depiction of the surroundings. This fusion ensures fewer false readings and safer autonomous car journeys. However, real-time processing of this data is crucial for functional autonomous vehicles. It's vital that the software is regularly updated and calibrated for improved accuracy. Ensure that you use the latest version of the software to keep your AV safety standards high, and never miss an update. Remember, just like autonomous cars, safety should always be automatic in our daily tech lives. 🚗💻📡⚙️ #TechTip #AutonomousVehicles #SensorFusion #SoftwareUpdate #StaySafe

🚗 Excited to share the latest insights on "Comprehensive Autonomous Vehicle Optimal Routing with Dynamic Heuristics." This blog post delves into the ever-evolving landscape of autonomous driving, highlighting the potential for a more efficient and safer road traffic system. Learn how the proposed Optimal AV Network (OAVN) solution enhances coordination, transportation efficiency, and in-cabin assistance while adapting to real-time traffic and road conditions. Dive into the details at https://bit.ly/4524LiU. #AutonomousVehicles #TransportationTechnology #DynamicHeuristics

Predicting Weather Impact on Autonomous Vehicle Cameras 📷 Weather conditions impact the vision systems of autonomous vehicles. Accurate simulation of weather effects on camera optics is crucial for vehicle safety and performance. Using modern optics and rendering techniques, we model the influence of rain, fog, and other weather conditions on camera performance. These insights help predict and enhance the reliability of autonomous vehicle vision systems. 🔗 Click here to enhance your optical systems simulation expertise: https://lnkd.in/dj-_KpXt #AutonomousVehicles #CameraOptics #VisionSystem #VehicleSafety #OpticsSimulation #Engineering #FastwayEngineering

This is how we use #simulation to #quantify the #quality of input data in a vision system. Whether you're an optical component manufacturer targeting the #automotive supply chain, or you're an OEM pursuing the dream of #ADAS Level 5, simulation is the #language we use to #communicate Engineering Requirements at every scale of the design, and at every phase of development.

Today's increasingly intelligent vehicles are only one piece of the puzzle of advanced transportation systems. Smart roads are equipped with advanced vehicle-sensing capabilities that form the backbone of intelligent transportation systems, laying the groundwork for the widespread adoption of autonomous vehicles. Now, a new approach that leverages a combination of cameras, radars and sensors promises even greater precision while also being more practical to deploy in real-world scenarios. Read more in a recently published paper on IEEE Xplore via IEEE Spectrum: https://bit.ly/3QBaWEj

As the automotive industry continues to shift to fully-electric and software-defined vehicles, it’s fun to predict new features that may come to reality within the next five years. Reported by Yahoo! Finance, we could see dynamic holographic dashboards, vehicle-to-everything communication, biometric vehicle access, adaptive smart windows, solid-state batteries, and advances in autonomous driving. #autonomousvehicles #softwaredefinedvehicles #fullyelectricvehicles #automotivetechnology

Our autonomous vehicles love data. So much so, that they collect more than 10 million megabytes (10TB) of it every single day. For most of us, 10TB can be difficult to grasp. But don’t worry – we’ve created a handy infographic to help you visualize what this number means. Could you watch 22,000 episodes of Game of Thrones in one day? Probably not. Everyone goes on about data. But why is it so important? As leaders of autonomous transport solutions, we rely on data for software development and improvement. We also use it to provide database services for our customers – for example, predictive maintenance based on data gathered during production. And our virtual driver uses data to learn about the world around our vehicles, so it can navigate them to their destinations safely and efficiently. #VolvoAutonomousSolutions #VAS #GuidedBySafety

🛰️ Dive into the cutting-edge world of GNSS correction services with our Enterprise version of corrections (TerraStar-X Enterprise)! Discover the power of TerraStar-X Enterprise which is designed for safety-critical applications and large-scale deployment.  👇

✅ Ultra-wide FOV Robin W features an ultra-wide field of view (FOV) of 120°×70°, with broader side-view detection and no blind zones. ✅ Wide detection range Robin W detects up to 70 meters at 10% reflectivity which is twice the detection range of other side-view lidar, while maintaining a minimum range of down to 0.1 meters which keeps the blind zone at an absolute minimum. ✅ Image-grade ultra-high resolution Robin W can provide image-grade resolution 0.1°(H)×0.36°(V) and over 1.77 million points per second, which enables better perception planning control. ✅ Low power consumption, flexible integration Robin W has a compact design for vehicle side panels and bumpers. Its low power consumption makes this compact sensor easily integratable.

Volvo Trucks's first-ever production-ready autonomous truck has been unveiled by Volvo Autonomous Solutions at the ACT Expo in Las Vegas. The Volvo VNL Autonomous features the Aurora Driver, an SAE L4 autonomous driving system from Aurora Innovation. The Aurora Driver has been extensively trained and tested in Aurora's sophisticated virtual suite, and has driven 1.5 million commercial miles on public roads. This system consists of powerful Al software, dual computers, proprietary lidar, high-resolution cameras, imaging radar, and additional sensors, enabling the Volvo VNL Autonomous to safely navigate the world around it. To further ensure safety, the Volvo VNL Autonomous features redundant systems for steering, braking, communication, computation, power management, energy storage and vehicle motion management. #Volvo #AutonomousTruck #Innovation #FutureOfTransportation