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Leveraging Stereo-Camera Data for Real-Time Dynamic Obstacle Detection and Tracking
(2020)2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)Dynamic obstacle avoidance is one crucial component for compliant navigation in crowded environments. In this paper we present a system for accurate and reliable detection and tracking of dynamic objects using noisy point cloud data generated by stereo cameras. Our solution is real-time capable and specifically designed for the deployment on computationally-constrained unmanned ground vehicles. The proposed approach identifies individual ...Conference Paper -
Robot Navigation in Crowded Environments Using Deep Reinforcement Learning
(2020)2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)Mobile robots operating in public environments require the ability to navigate among humans and other obstacles in a socially compliant and safe manner. This work presents a combined imitation learning and deep reinforcement learning approach for motion planning in such crowded and cluttered environments. By separately processing information related to static and dynamic objects, we enable our network to learn motion patterns that are ...Conference Paper -
VIZARD: Reliable Visual Localization for Autonomous Vehicles in Urban Outdoor Environments
(2019)2019 IEEE Intelligent Vehicles Symposium (IV)Conference Paper -
Optimization-Based Terrain Analysis and Path Planning in Unstructured Environments
(2019)2019 International Conference on Robotics and Automation (ICRA)Conference Paper -
Redundant Perception and State Estimation for Reliable Autonomous Racing
(2019)2019 International Conference on Robotics and Automation (ICRA)Conference Paper -
Design of an Autonomous Racecar: Perception, State Estimation and System Integration
(2018)Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA)Conference Paper -
PoseMap: Lifelong, Multi-Environment 3D LiDAR Localization
(2018)2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)Reliable long-term localization is key for robotic systems in dynamic environments. In this paper, we propose a novel approach for long-term localization using 3D LiDARs, coined PoseMap. In essence, we extract distinctive features from range measurements and bundle these into local views along with observation poses. The sensor's trajectory is then estimated in a sliding window fashion by matching current and old features and minimizing ...Conference Paper -
Autonomous Electric Race Car Design
(2017)30th International Electric Vehicle Symposium (EVS 30)Autonomous driving and electric vehicles are nowadays very active research and development areas. In this paper we present the conversion of a standard Kyburz eRod into an autonomous vehicle that can be operated in challenging environments such as Swiss mountain passes. The overall hardware and software architectures are described in detail with a special emphasis on the sensor requirements for autonomous vehicles operating in partially ...Conference Paper -
SegMatch: Segment based place recognition in 3D point clouds
(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