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.

Table of Content

May 17, 2024

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We automate inspection and Quality Assurance of assets throughout infrastructure lifecycle.

Follow Us

Contact Us

info@kodifly.com

SG

160 Robinson Road, #14-04 Singapore Business Federation Center

PK

Office 101-104, CEMTECH (NUST AI Tower), NSTP, NUST, Scholars Avenue, Sector H-12, Islamabad, Pakistan

© 2025. All rights reserved. Kodifly

Terms & Conditions

Privacy Policy

We automate inspection and Quality Assurance of assets throughout infrastructure lifecycle.

Follow Us

Stay up to date

Get the latest updates and exclusive tips to boost your sales

Contact Us

info@kodifly.com

SG

160 Robinson Road, #14-04 Singapore Business Federation Center

PK

Office 101-104, CEMTECH (NUST AI Tower), NSTP, NUST, Scholars Avenue, Sector H-12, Islamabad, Pakistan

© 2025. All rights reserved. Kodifly

Terms & Conditions

Privacy Policy