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VIZARD: Reliable Visual Localization for Autonomous Vehicles in Urban Outdoor Environments
(2019)2019 IEEE Intelligent Vehicles Symposium (IV)Conference Paper -
Empty Cities: Image Inpainting for a Dynamic-Object-Invariant Space
(2019)2019 International Conference on Robotics and Automation (ICRA)Conference Paper -
Object Classification Based on Unsupervised Learned Multi-Modal Features For Overcoming Sensor Failures
(2019)2019 International Conference on Robotics and Automation (ICRA)Conference Paper -
From coarse to fine: Robust hierarchical localization at large scale
(2019)Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019)Conference Paper -
An Approach for Semantic Segmentation of Tree-like Vegetation
(2019)2019 International Conference on Robotics and Automation (ICRA)Conference Paper -
Learning Common and Transferable Feature Representations for Multi-Modal Data
(2020)2020 IEEE Intelligent Vehicles Symposium (IV)LiDAR sensors are crucial in automotive perception for accurate object detection. However, LiDAR data is hard to interpret for humans and consequently time-consuming to label. Whereas camera data is easy interpretable and thus, comparably simpler to label. Within this work we present a transductive transfer learning approach to transfer the knowledge for the object detection task from images to point cloud data. We propose a multi-modal ...Conference Paper -
SegMatch: Segment based place recognition in 3D point clouds
(2017)2017 IEEE International Conference on Robotics and Automation (ICRA)Conference Paper -
A Data-driven Model for Interaction-Aware Pedestrian Motion Prediction in Object Cluttered Environments
(2018)Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA)Conference Paper -
Aerial-Ground collaborative sensing: Third-Person view for teleoperation
(2018)Proceedings of the 2018 International Symposium on Safety, Security, and Rescue Robotics (SSRR)Conference Paper -
From perception to decision: A data-driven approach to end-to-end motion planning for autonomous ground robots
(2017)2017 IEEE International Conference on Robotics and Automation (ICRA)Conference Paper