3D-DLAD 2022

4th Workshop on 3D-Deep Learning for Automated Driving 

7th Edition of Deep Learning for Automated Driving (DLAD) workshop 

IEEE Intelligent Vehicles Symposium (IV’2022)  - Aachen, Germany 2022

3D-DLAD V5 workshop at IV2023 Anchorage Alaska, website is here

Intelligent Transportation Systems (ITS) is the IEEE society for automotive broadly including autonomous driving. The Intelligent Vehicles Symposium (IV’2022) (link) is a premier forum sponsored by the IEEE Intelligent Transportation Systems Society (ITSS) and it is the 32nd edition of the conference this year. This workshop is the fourth edition of our ITS workshop series on ‘Deep Learning for Autonomous Driving’ (DLAD) but focused on 3D data processing from Lidar, cameras and TOF sensors. Hence it is called 3D-DLAD workshop. 

Deep Learning has become a de-facto tool in Computer Vision and 3D processing by boosting performance and accuracy for diverse tasks such as object classification, detection, optical flow estimation, motion segmentation, mapping, etc. Recently Lidar sensors are playing an important role in the development of Autonomous Vehicles as they overcome some of the main drawbacks of a camera like degraded performance under changes in illumination and weather conditions. In addition, Lidar sensors are capturing a wider field of view while directly obtaining 3D information, which is essential  to assure the security of the different traffic players. However, it becomes a computationally challenging task to process daunting magnitudes of more than 100k points per scan. To address the growing interest on deep learning for lidar point-clouds, both from an academic research and industry in the domain of autonomous driving, we propose the current workshop to disseminate the latest research. 

Previous edition of the workshop series: 

List of topics: