cogniBIT

🚦 Excited to share our latest research on modeling human behavior in traffic! 🚗 Our whitepaper, "Achieving Realism in Traffic Simulations: Performance of a Cognitive Behavior Model on the Waymo Open Sim Agent Challenge" is now available. We introduce the cogniBOT system, a novel approach that merges rule-based and machine learning techniques to create a comprehensive model of human driving behavior. Unlike traditional methods, cogniBOT can simulate both standard and critical driving situations with remarkable accuracy, all while using significantly fewer parameters. Key highlights: - Competitive performance in the Waymo Open Sim Agent Challenge - Realistic simulation of driver interactions and rare events - Transparent, explainable models with low computing requirements Check out the full whitepaper here: https://lnkd.in/dgvrQdK8 #trafficsimulation #cognitivemodeling #artificialintelligence #perception #futureofdriving #automotiveai #vehiclesafety #cognition #autonomousdriving #simulation #autonomousvehicle #autonomous #agentsimulation

Meet cogniBIT at the ADAS & AV Tech Expo in Stuttgart!

Simulating the Future of Driving: How driveBOT uses Human-like Perception for Valid Traffic Simulations Excited to share how driveBOT leverages human-like perception to outperform traditional methods in modeling traffic behavior. Our model excels, especially in interactions with other vehicles, thanks to its precise prediction of human reaction timing. These human-like reaction dynamics significantly enhance the validity of our traffic simulations, crucial for training and developing self-driving cars. Watch the video to learn more about how driveBOT goes beyond simple prediction -> #selfdrivingcars #trafficsimulation #trajectoryprediction #artificialintelligence #perception #futureofdriving #automotiveai #vehiclesafety #cognition #autonomousdriving #simulation #autonomousvehicle #autonomous

Simulating the Future of Driving: How driveBOT uses Human-like Perception for Valid Traffic Simulations Excited to share how driveBOT leverages human-like perception to outperform traditional methods in modeling traffic behavior. Our model excels, especially in interactions with other vehicles, thanks to its precise prediction of human reaction timing. These human-like reaction dynamics significantly enhance the validity of our traffic simulations, crucial for training and developing self-driving cars. Watch the video to learn more about how driveBOT goes beyond simple prediction -> #selfdrivingcars #trafficsimulation #trajectoryprediction #artificialintelligence #perception #futureofdriving #automotiveai #vehiclesafety #cognition #autonomousdriving #simulation #autonomousvehicle #autonomous

Very happy to be onboard the next German Accelerator China Market Discovery Program!

🚲 Introducing bikeBOT by cogniBIT! 🏍️ We're thrilled to unveil our latest innovation: bikeBOT, the newest embodiment of our cogniBOT AI architecture. 🧠 Key Features of bikeBOT: 🚀 Realistic Simulation: Mimics the behavior of motorbikes, bicycles, and eScooters in city environments. 🛵 Traffic Savvy: Adheres to traffic rules and signals, ensuring a true-to-life urban navigation experience. 🚦 Interactive: Engages fully with other traffic participants, from weaving through traffic to avoiding both static and dynamic obstacles. 🚗 Realistic Perception: Navigates around visual occlusions, understanding what it can and can't see. 👀 Diverse Personalities: From aggressive to cautious riders, bikeBOT simulates a full spectrum of rider behaviors. 😠😇 Physical Limitations: Accounts for potential distractions and physical constraints of riders. 🧠 Flexibility in Compliance: Offers options for simulating violations of traffic rules to test boundary conditions. 🚨 Why bikeBOT? Autonomous vehicle producers can now leverage bikeBOT to conduct thorough and systematic tests in a virtual environment. This ensures reliable and safe interactions with bicycle-like VRUs, minimizing risks before real-world testing. Interested in taking your AV testing to the next level? We're here to help. Contact us for more information or to schedule a product demo. Let's drive the future of autonomous vehicle safety together! #AutonomousVehicles #UrbanMobility #SimulationTechnology #AIInnovation #TrafficSafety #FutureOfTransport #EdgeCaseTesting #SelfDrivingCars #AutomotiveAI #FutureOfDriving #VehicleSafety #AutonomousDriving #Simulation

Enhancing Autonomous Vehicle Testing in Logistics Yards with walkBOT Logistics yards present a diverse array of challenges for autonomous vehicles. Navigating these areas is particularly demanding due to their unpredictable and complex nature. With walkBOT, we can conduct systematic and comprehensive testing of the various interactions that autonomous vehicles encounter in logistics settings. This focus on rigorous, real-world scenario testing is key to ensuring safety and efficiency. #Logistics #AutonomousVehicles #AutonomousTrucks #EdgeCaseTesting #AIInnovation #SelfDrivingCars #AutomotiveAI #FutureOfDriving #VehicleSafety #TechTrends #SmartMobility #AutonomousDriving #Simulation

Advancing Edge Case Testing with driveBOT & walkBOT By introducing rule-averse behavior, we're uniquely simulating unpredictable, real-world scenarios. This innovative approach allows the agents to demonstrate complex behaviors like negligent driving and jaywalking, providing valuable data for enhancing the safety and reliability of autonomous vehicles. Our goal is to ensure that self-driving technology is not only advanced but also prepared for the diverse challenges of real-world traffic conditions. Join us in pushing the boundaries of autonomous vehicle testing and shaping a safer future for all road users! #AutonomousVehicles #EdgeCaseTesting #AIInnovation #SelfDrivingCars #AutomotiveAI #FutureOfDriving #VehicleSafety #TechTrends #SmartMobility #autonomousdriving #simulation #autonomousvehicle #autonomous #driveBOT #walkBOT #NeuroCognitiveDriving #AutomotiveTech #InnovationInMotion 

Advancing Edge Case Testing with driveBOT & walkBOT By introducing rule-averse behavior, we're uniquely simulating unpredictable, real-world scenarios. This innovative approach allows the agents to demonstrate complex behaviors like negligent driving and jaywalking, providing valuable data for enhancing the safety and reliability of autonomous vehicles. Our goal is to ensure that self-driving technology is not only advanced but also prepared for the diverse challenges of real-world traffic conditions. Join us in pushing the boundaries of autonomous vehicle testing and shaping a safer future for all road users! #AutonomousVehicles #EdgeCaseTesting #AIInnovation #SelfDrivingCars #AutomotiveAI #FutureOfDriving #VehicleSafety #TechTrends #SmartMobility #autonomousdriving #simulation #autonomousvehicle #autonomous #driveBOT #walkBOT #NeuroCognitiveDriving #AutomotiveTech #InnovationInMotion 

driveBOT mirrors human response patterns in traffic situations: due to our neurocognitive AI approach, it demonstrates shorter reaction times in predictable scenarios and longer ones in unforeseen circumstances. For instance, when driveBOT anticipates an interaction, the reaction time is usually below 1 second. However, when the vehicle ahead stops unexpectedly, the reaction time is much longer, potentially leading to a critical situation. #autonomousdriving #simulation #autonomousvehicle #autonomous #driveBOT #CARLA #NeuroCognitiveDriving #AutomotiveTech #FutureOfDriving #InnovationInMotion #UrbanDriving