OTIV’s Post

NEW COLLABORATION📣: 𝗘𝗻𝗮𝗯𝗹𝗶𝗻𝗴 𝗥𝗲𝗮𝗹𝗶𝘀𝘁𝗶𝗰 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗩𝗲𝗵𝗶𝗰𝗹𝗲𝘀 Autonomous vehicles (AVs) hold the promise of forever changing how we use cars, but before driverless cars become mainstream, we need to ensure they are safe. One of the most difficult challenges to overcome for AV and advanced driver assistance systems (ADAS) developers is the “simulation-to-real” gap, or how virtual training and testing conditions differ from the real world. One of the most promising solutions to this problem is using advanced AI behaviour models to simulate realistic human actions. This project will aim to form a consortium of innovators from across the sector to advance the development and adoption of behavioural models for simulation. In the first stage, the team will integrate Inverted AI’s modelling solutions into CARLA’s platform, one of the world’s leading open-source autonomous driving simulators, to launch an interoperable, scalable solution for commercial and academic research. This project is actively seeking new project partners to create a world-class human behavioural simulation consortium of autonomous vehicle developers and self-driving car manufacturers. Interested organizations are encouraged to click the link for more information. Learn more about the collaboration here: https://bit.ly/3Yirl3N Inverted AI | CARLA simulator

Good approach to explore digital twin and human-centric simulation.

Collaborate for Innovation: Autonomous Car Project Seeks Partners to Advance Safety Research I.A² Team is excited to share our latest project demo! We've developed a revolutionary solution featuring AI-powered LiDAR sensors that significantly enhance obstacle detection and decision-making capabilities. Join us on this journey towards accident-free roads! Witness the demo and discover how our innovative technology: -Reduces reaction time by 30% compared to traditional sensors. -Navigates complex urban environments with unparalleled precision. -Prioritizes pedestrian safety with advanced object recognition. We're actively seeking collaborators to push the boundaries of autonomous car safety research. Are you a tech company, investor, or academic institution passionate about improving road safety? Watch the demo and connect with us today! #autonomouscars #selfdrivingcars #autonomousvehicles #connectedcars #futureofmobility #AI #artificialintelligence #machinelearning #safety #innovation #partnership #collaboration #research #development #demo #linkedin

I'm happy to share that our paper, titled "Implementation of YOLO V8 for Advanced Autonomous Vehicle Detection Techniques," has been published in the Grenze International Journal of Engineering and Technology. This work delves into cutting-edge methodologies for enhancing vehicle detection in autonomous systems using the latest advancements in YOLO (You Only Look Once) V8. We are excited about the potential applications of these findings in the field of autonomous vehicles and look forward to contributing further to this dynamic area of research. Thank you to everyone who supported and collaborated with us on this journey! #Research #Publication #YOLOv8 #AutonomousVehicles #VehicleDetection #ComputerVision #AI #MachineLearning #DeepLearning #Innovation #Technology #Engineering #TechResearch #AcademicAchievement #AutonomousDriving #TechCommunity

Discover how Gaussian Splatting revolutionizes AV simulation! This cutting-edge technique enhances the realism of autonomous vehicle simulations by efficiently rendering complex environments with high fidelity. Learn how Gaussian Splatting can improve safety and performance in autonomous driving technology. #gaussiansplatting #avsimulation #autonomousvehicles #selfdrivingcars #simulation #automotive #machinelearning #deeplearning #computervision #technology #rendering #highfidelity #complexenvironments #cuttingedge #futureoftransportation #autonomousdriving #ai #artificialintelligence #vehicletechnology #simulationtechnology

Unlocking the Challenges of Real-World Reinforcement Learning in Autonomous Vehicles I'm excited to share my latest video where I delve into the intricate and fascinating world of reinforcement learning (RL) applied to autonomous vehicles. This deep dive covers the major hurdles we face when deploying RL algorithms in real-world driving scenarios and UAVs. Key Topics Discussed: 🔹 High-Dimensional Continuous State and Action Spaces   🔹 Partial Observability and Non-Stationarity   🔹 Unspecified and Multi-Objective Reward Functions   🔹 Explainability   🔹 Real-Time Inference   🔹 System Delays   🔹 Safety Considerations  📽️ Watch the full video here: https://lnkd.in/datjH_pS Whether you're an AI enthusiast, a professional in the field, or simply curious about the future of autonomous vehicles, this video is packed with insights that you won't want to miss! For example, insights on the #IEEE #review #process and practical points. Let’s drive the conversation forward—what do you think are the biggest challenges in implementing RL for autonomous vehicles? Share your thoughts in the comments! You can find the Farsi version of my video on my YouTube channel. #ReinforcementLearning #AutonomousVehicles #AI #MachineLearning #DeepLearning #Explainability #SafetyInAI #UAVs

I am thrilled to announce my first author publication "Enhanced Encoder-Decoder Architecture for Visual Perception Multitasking in Autonomous Driving" has been published in the top-ranked journal “Expert System with Applications” This research paper explores the innovative approaches for Multi-tasking Visual Perception in autonomous vehicles. You can access the full paper here: https://lnkd.in/gjxa-i3f I want to express my gratitude to my MSc supervisor Prof. Qiang Ling. #AutonomousDriving #VisualPerception #ResearchInnovation #DeepLearning 🚗 #computervision #AI #perception #autonomousvehicles

There's still time to submit a paper for #OpticaLaser24! Present your work in laser science with an international audience of experts in Osaka, Japan. We're bringing together experts across free space and quantum communications, autonomous vehicles, micro-machining, industry professionals and more. Learn more and submit your abstract by 18 June: https://ow.ly/hbOg50QYNH8 #laserscience #autonomousvehicles #lasers

🚗🔍 Excited to share some of the vehicle detection results from my recent work using YOLO! As part of my last student job at Halmstad University, I explored this side project, applying YOLO for object detection in the context of autonomous driving. It was a great opportunity to deepen my skills in computer vision and real-time detection systems. #YOLO #AutonomousDriving #ComputerVision #DeepLearning #ObjectDetection #AI #MachineLearning

The five level framework is similar to systems used in the automotive industry to assess automation levels for self-driving cars, and Technology Readiness Levels (TRLs) used by NASA to assess the maturity level of various technologies. Each level specifies concepts, technology requirements, and capabilities to enable consistent and uniform discussions about AI advances. Level 1️⃣ Conversational Level 2️⃣ Reasoning Level 3️⃣ Autonomous Agents - Assistnify Now! Level 4️⃣ Autonomous Innovators Level 5️⃣ Autonomous Organizations #LekirTech #MultiAiAgent #LAMvsLLM #AIInnovation #ProductivityBoost