Daniel Bogdoll
収録論文 21本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving2026/3/1
- Label-Free Model Failure Detection for Lidar-based Point Cloud Segmentation2024/7/1
- UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving2024/6/1
- Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving2024/6/1
- AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving2024/5/1
- One Stack to Rule them All: To Drive Automated Vehicles, and Reach for the 4th level2024/4/1
- Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions2024/2/1
- On The Impact of Replacing Private Cars with Autonomous Shuttles: An Agent-Based Approach2023/11/1
- MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations2023/11/1
- Conditioning Latent-Space Clusters for Real-World Anomaly Classification2023/9/1
- Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving2023/8/1
- Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey2023/2/1
- Impact, Attention, Influence: Early Assessment of Autonomous Driving Datasets2023/1/1
- One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving2022/9/1
- DLCSS: Dynamic Longest Common Subsequences2022/7/1
- Multimodal Detection of Unknown Objects on Roads for Autonomous Driving2022/5/1
- Anomaly Detection in Autonomous Driving: A Survey2022/4/1
- Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules2022/2/1
- Description of Corner Cases in Automated Driving: Goals and Challenges2021/9/1
- Taxonomy and Survey on Remote Human Input Systems for Driving Automation Systems2021/9/1
- Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems2021/5/1