May 17, 2024
Kodifly Showcases Innovative Research at ICRA 2024 in Yokohama
Kodifly Showcases Innovative Research at ICRA 2024 in Yokohama
Madina Jamolova
Growth & Partnership Lead
This May, the international robotics and automation community gathered in Yokohama, Japan, for the prestigious IEEE International Conference on Robotics and Automation (ICRA 2024). Among the distinguished presenters was Kodifly’s own Computer Vision Engineer, Gabriel Chan, who showcased cutting-edge research that marks a leap forward in 3D object detection technologies.
Conference Highlights
ICRA 2024 brought together experts, researchers, and practitioners from across the globe to discuss advancements and share innovations in robotics and automation. The conference featured a wide range of topics, from artificial intelligence and robotic systems to the latest in sensor technology and automation strategies, making it a pivotal event for those at the forefront of the robotics field.
Research Overview
Gabriel presented the paper titled "Robust 3D Object Detection from LiDAR-Radar Point Cloud via Cross Modal Feature Augmentation," which he co-authored with researchers from University College London (UCL), the University of Cambridge, and the University of Edinburgh.
This research introduces an innovative approach to enhancing the accuracy and reliability of 3D object detection systems by integrating LiDAR and radar data. The paper details methodologies for augmenting point cloud data with cross-modal features, significantly improving the system’s ability to detect and interpret objects in complex environments.
Key Takeaways
The paper, accessible here, elaborates on how this advanced technique not only enhances detection precision but also contributes to safer and more efficient operational capabilities for autonomous vehicles and other automated systems reliant on precise environmental understanding.
Kodifly’s Commitment
Kodifly is committed to advancing safety and efficiency in public transport and infrastructure through innovation. Participation in international forums like ICRA is a testament to our dedication to remaining at the cutting edge of technology and research. Gabriel’s contribution to this field exemplifies Kodifly’s collaborative spirit and our drive to solve real-world challenges through pioneering solutions.
This May, the international robotics and automation community gathered in Yokohama, Japan, for the prestigious IEEE International Conference on Robotics and Automation (ICRA 2024). Among the distinguished presenters was Kodifly’s own Computer Vision Engineer, Gabriel Chan, who showcased cutting-edge research that marks a leap forward in 3D object detection technologies.
Conference Highlights
ICRA 2024 brought together experts, researchers, and practitioners from across the globe to discuss advancements and share innovations in robotics and automation. The conference featured a wide range of topics, from artificial intelligence and robotic systems to the latest in sensor technology and automation strategies, making it a pivotal event for those at the forefront of the robotics field.
Research Overview
Gabriel presented the paper titled "Robust 3D Object Detection from LiDAR-Radar Point Cloud via Cross Modal Feature Augmentation," which he co-authored with researchers from University College London (UCL), the University of Cambridge, and the University of Edinburgh.
This research introduces an innovative approach to enhancing the accuracy and reliability of 3D object detection systems by integrating LiDAR and radar data. The paper details methodologies for augmenting point cloud data with cross-modal features, significantly improving the system’s ability to detect and interpret objects in complex environments.
Key Takeaways
The paper, accessible here, elaborates on how this advanced technique not only enhances detection precision but also contributes to safer and more efficient operational capabilities for autonomous vehicles and other automated systems reliant on precise environmental understanding.
Kodifly’s Commitment
Kodifly is committed to advancing safety and efficiency in public transport and infrastructure through innovation. Participation in international forums like ICRA is a testament to our dedication to remaining at the cutting edge of technology and research. Gabriel’s contribution to this field exemplifies Kodifly’s collaborative spirit and our drive to solve real-world challenges through pioneering solutions.
This May, the international robotics and automation community gathered in Yokohama, Japan, for the prestigious IEEE International Conference on Robotics and Automation (ICRA 2024). Among the distinguished presenters was Kodifly’s own Computer Vision Engineer, Gabriel Chan, who showcased cutting-edge research that marks a leap forward in 3D object detection technologies.
Conference Highlights
ICRA 2024 brought together experts, researchers, and practitioners from across the globe to discuss advancements and share innovations in robotics and automation. The conference featured a wide range of topics, from artificial intelligence and robotic systems to the latest in sensor technology and automation strategies, making it a pivotal event for those at the forefront of the robotics field.
Research Overview
Gabriel presented the paper titled "Robust 3D Object Detection from LiDAR-Radar Point Cloud via Cross Modal Feature Augmentation," which he co-authored with researchers from University College London (UCL), the University of Cambridge, and the University of Edinburgh.
This research introduces an innovative approach to enhancing the accuracy and reliability of 3D object detection systems by integrating LiDAR and radar data. The paper details methodologies for augmenting point cloud data with cross-modal features, significantly improving the system’s ability to detect and interpret objects in complex environments.
Key Takeaways
The paper, accessible here, elaborates on how this advanced technique not only enhances detection precision but also contributes to safer and more efficient operational capabilities for autonomous vehicles and other automated systems reliant on precise environmental understanding.
Kodifly’s Commitment
Kodifly is committed to advancing safety and efficiency in public transport and infrastructure through innovation. Participation in international forums like ICRA is a testament to our dedication to remaining at the cutting edge of technology and research. Gabriel’s contribution to this field exemplifies Kodifly’s collaborative spirit and our drive to solve real-world challenges through pioneering solutions.
Interested to find out how Kodifly transforms the infrastructure space?
Interested to find out how Kodifly transforms the infrastructure space?
Interested to find out how Kodifly transforms the infrastructure space?
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