Uploaded July 2026 | Updated September 2026, 2 weeks ago
AI, Computer Vision & Sensor Fusion: Ramy Battrawy on LiDAR, Scene Flow Estimation and the Future of Autonomous Systems | Computer Vision Conference 2026
In this exclusive interview from the Computer Vision Conference 2026 in Amsterdam, we speak with Ramy Battrawy, a researcher at the German Research Center for Artificial Intelligence (DFKI), about his journey from mechatronics engineering to cutting-edge research in artificial intelligence, computer vision, and multimodal sensor fusion.
Ramy shares insights into his research on 3D scene flow estimation, a critical technology for understanding motion in dynamic environments, and explains how combining data from multiple sensors—including LiDAR, RGB cameras, stereo vision systems, event-based sensors, radars, and IMUs—can significantly improve perception, robustness, and safety in autonomous systems.
During the conversation, we explore:
🔹 Ramy's transition from industrial machine vision and metrology to AI research
🔹 The role of LiDAR-camera fusion in modern computer vision systems
🔹 3D scene flow estimation and motion analysis in dynamic environments
🔹 Sensor fusion challenges involving heterogeneous data sources
🔹 Real-world applications in autonomous vehicles, drones, robotics, logistics, and smart agriculture
🔹 AI generalization, continual learning, and knowledge distillation techniques
🔹 The gap between academic research and industrial deployment
🔹 Future trends in perception systems and autonomous intelligence
🔹 Networking, collaboration, and innovation at Computer Vision Conference 2026
About the Speaker:
Ramy Battrawy is a researcher at DFKI specializing in artificial intelligence and computer vision. His expertise spans multimodal 2D/3D sensor fusion, LiDAR-event camera integration, ego-motion estimation, 3D scene flow, image processing, calibration, industrial inspection systems, and real-time edge AI deployment. He has previously worked with Carl Zeiss and Chromasens GmbH and has contributed to both industrial and publicly funded research projects, including collaborations with BMW.
This interview offers valuable insights for researchers, engineers, students, and technology professionals interested in AI, computer vision, robotics, autonomous systems, sensor fusion, machine learning, and intelligent perception technologies.
📌 If you enjoyed this interview, please Like, Share, and Subscribe for more conversations with leading researchers, innovators, and industry experts from international AI and computer vision conferences.
#ComputerVision #ArtificialIntelligence #AI #SensorFusion #LiDAR #SceneFlow #MachineLearning #DeepLearning #AutonomousSystems #Robotics #DFKI #ComputerVisionConference2026 #3DVision #PerceptionSystems #AutonomousVehicles #SmartAgriculture #EventCameras #ResearchInterview #Innovation #TechnologyConference #Ramy Battrawy
AI, Computer Vision & Sensor Fusion: Ramy Battrawy on LiDAR, Scene Flow Estimation and the Future of Autonomous Systems | Computer Vision Conference 2026
In this exclusive interview from the Computer Vision Conference 2026 in Amsterdam, we speak with Ramy Battrawy, a researcher at the German Research Center for Artificial Intelligence (DFKI), about his journey from mechatronics engineering to cutting-edge research in artificial intelligence, computer vision, and multimodal sensor fusion.
Ramy shares insights into his research on 3D scene flow estimation, a critical technology for understanding motion in dynamic environments, and explains how combining data from multiple sensors—including LiDAR, RGB cameras, stereo vision systems, event-based sensors, radars, and IMUs—can significantly improve perception, robustness, and safety in autonomous systems.
During the conversation, we explore:
🔹 Ramy's transition from industrial machine vision and metrology to AI research
🔹 The role of LiDAR-camera fusion in modern computer vision systems
🔹 3D scene flow estimation and motion analysis in dynamic environments
🔹 Sensor fusion challenges involving heterogeneous data sources
🔹 Real-world applications in autonomous vehicles, drones, robotics, logistics, and smart agriculture
🔹 AI generalization, continual learning, and knowledge distillation techniques
🔹 The gap between academic research and industrial deployment
🔹 Future trends in perception systems and autonomous intelligence
🔹 Networking, collaboration, and innovation at Computer Vision Conference 2026
About the Speaker:
Ramy Battrawy is a researcher at DFKI specializing in artificial intelligence and computer vision. His expertise spans multimodal 2D/3D sensor fusion, LiDAR-event camera integration, ego-motion estimation, 3D scene flow, image processing, calibration, industrial inspection systems, and real-time edge AI deployment. He has previously worked with Carl Zeiss and Chromasens GmbH and has contributed to both industrial and publicly funded research projects, including collaborations with BMW.
This interview offers valuable insights for researchers, engineers, students, and technology professionals interested in AI, computer vision, robotics, autonomous systems, sensor fusion, machine learning, and intelligent perception technologies.
📌 If you enjoyed this interview, please Like, Share, and Subscribe for more conversations with leading researchers, innovators, and industry experts from international AI and computer vision conferences.
#ComputerVision #ArtificialIntelligence #AI #SensorFusion #LiDAR #SceneFlow #MachineLearning #DeepLearning #AutonomousSystems #Robotics #DFKI #ComputerVisionConference2026 #3DVision #PerceptionSystems #AutonomousVehicles #SmartAgriculture #EventCameras #ResearchInterview #Innovation #TechnologyConference #Ramy Battrawy
