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VIZARD: Reliable Visual Localization for Autonomous Vehicles in Urban Outdoor Environments
(2019)2019 IEEE Intelligent Vehicles Symposium (IV)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 -
An Approach for Semantic Segmentation of Tree-like Vegetation
(2019)2019 International Conference on Robotics and Automation (ICRA)Conference Paper -
C-blox: A Scalable and Consistent TSDF-based Dense Mapping Approach
(2018)2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)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 -
Map Management for Efficient Long-Term Visual Localization in Outdoor Environments
(2018)2018 IEEE Intelligent Vehicles Symposium (IV)Conference Paper -
3D Ground Point Classification for Automotive Scenarios
(2018)2018 21st International Conference on Intelligent Transportation Systems (ITSC)Autonomous driving applications must be provided with information about other road users and road side infrastructure by object detection modules. These modules often process point clouds sensed by light detection and ranging (LiDAR) sensors. Within the captured point cloud a large amount of points correspond to physical locations on the ground. These points do not hold information about road users, obstacles or road side infrastructure. ...Conference Paper -
SegMatch: Segment based place recognition in 3D point clouds
(2017)2017 IEEE International Conference on Robotics and Automation (ICRA)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 -
3D registration of aerial and ground robots for disaster response: An evaluation of features, descriptors, and transformation estimation
(2017)2017 IEEE International Symposium on Safety, Security and Rescue Robotics (SSRR)Conference Paper