Maximilian Naumann
International Conference on Intelligent Transportation Systems · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Maximilian Naumann trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Morgan Quigley (in Robotics & Control)
Papers from Maximilian Naumann's perspective
Ordered by how strongly the researchers Maximilian Naumann trusts endorse each paper. Same corpus, a different order for every researcher.
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- Mask R-CNN
- The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems (International Conference on Intelligent Transportation Systems)
- A survey on motion prediction and risk assessment for intelligent vehicles
- Lanelet2: A high-definition map framework for the future of automated driving (International Conference on Intelligent Transportation Systems)
- Argoverse: 3D Tracking and Forecasting With Rich Maps (Computer Vision and Pattern Recognition)
- Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes (European Conference on Computer Vision)
- ROS: an open-source Robot Operating System
- A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning
- HG-DAgger: Interactive Imitation Learning with Human Experts