J. Marius Zöllner
収録論文 63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
- Runtime Safety Monitoring of Deep Neural Networks for Perception: A Survey2025/11/1
- Boosting LiDAR-Based Localization with Semantic Insight: Camera Projection versus Direct LiDAR Segmentation2025/9/1
- EffiComm: Bandwidth Efficient Multi Agent Communication2025/7/1
- Diverse and Adaptive Behavior Curriculum for Autonomous Driving: A Student-Teacher Framework with Multi-Agent RL2025/7/1
- Bridging Simulation and Usability: A User-Friendly Framework for Scenario Generation in CARLA2025/7/1
- DigiT4TAF -- Bridging Physical and Digital Worlds for Future Transportation Systems2025/7/1
- Online Performance Assessment of Multi-Source-Localization for Autonomous Driving Systems Using Subjective Logic2025/6/1
- Functionality Assessment Framework for Autonomous Driving Systems using Subjective Networks2025/6/1
- Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning2025/5/1
- Boundary-Guided Trajectory Prediction for Road Aware and Physically Feasible Autonomous Driving2025/5/1
- TPK: Trustworthy Trajectory Prediction Integrating Prior Knowledge For Interpretability and Kinematic Feasibility2025/5/1
- Balancing Progress and Safety: A Novel Risk-Aware Objective for RL in Autonomous Driving2025/5/1
- Centralized Decision-Making for Platooning By Using SPaT-Driven Reference Speeds2025/5/1
- A Chefs KISS -- Utilizing semantic information in both ICP and SLAM framework2025/4/1
- Modular Fault Diagnosis Framework for Complex Autonomous Driving Systems2024/11/1
- Empowering Autonomous Shuttles with Next-Generation Infrastructure2024/10/1
- From One to the Power of Many: Invariance to Multi-LiDAR Perception from Single-Sensor Datasets2024/9/1
- Label-Free Model Failure Detection for Lidar-based Point Cloud Segmentation2024/7/1
- Efficient Data Representation for Motion Forecasting: A Scene-Specific Trajectory Set Approach2024/7/1
- 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
- CoCar NextGen: a Multi-Purpose Platform for Connected Autonomous Driving Research2024/4/1
- Leveraging Swarm Intelligence to Drive Autonomously: A Particle Swarm Optimization based Approach to Motion Planning2024/4/1
- One Stack to Rule them All: To Drive Automated Vehicles, and Reach for the 4th level2024/4/1
- Scene-Extrapolation: Generating Interactive Traffic Scenarios2024/4/1
- Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions2024/2/1
- Can you see me now? Blind spot estimation for autonomous vehicles using scenario-based simulation with random reference sensors2024/2/1
- MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations2023/11/1
- On The Impact of Replacing Private Cars with Autonomous Shuttles: An Agent-Based Approach2023/11/1
- Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions2023/11/1
- Conditional Unscented Autoencoders for Trajectory Prediction2023/10/1
- KI-PMF: Knowledge Integrated Plausible Motion Forecasting2023/10/1
- Traffic Light Recognition using Convolutional Neural Networks: A Survey2023/9/1
- Utilizing Hybrid Trajectory Prediction Models to Recognize Highly Interactive Traffic Scenarios2023/9/1
- 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
- Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction via Self-Supervision2023/6/1
- Inverse Universal Traffic Quality -- a Criticality Metric for Crowded Urban Traffic Scenes2023/4/1
- A Comprehensive Review on Ontologies for Scenario-based Testing in the Context of Autonomous Driving2023/4/1
- Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey2023/2/1
- Impact, Attention, Influence: Early Assessment of Autonomous Driving Datasets2023/1/1
- Self Supervised Clustering of Traffic Scenes using Graph Representations2022/11/1
- Fingerprint of a Traffic Scene: an Approach for a Generic and Independent Scene Assessment2022/11/1
- Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception2022/10/1
- One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving2022/9/1
- DLCSS: Dynamic Longest Common Subsequences2022/7/1
- An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios2022/5/1
- Multimodal Detection of Unknown Objects on Roads for Autonomous Driving2022/5/1
- Anomaly Detection in Autonomous Driving: A Survey2022/4/1
- Cooperative Trajectory Planning in Uncertain Environments with Monte Carlo Tree Search and Risk Metrics2022/3/1
- Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules2022/2/1
- Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree Search2022/2/1
- StarNet: Joint Action-Space Prediction with Star Graphs and Implicit Global Frame Self-Attention2021/11/1
- Taxonomy and Survey on Remote Human Input Systems for Driving Automation Systems2021/9/1
- Description of Corner Cases in Automated Driving: Goals and Challenges2021/9/1
- Self-Supervised Action-Space Prediction for Automated Driving2021/9/1
- Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems2021/5/1
- Accelerating Cooperative Planning for Automated Vehicles with Learned Heuristics and Monte Carlo Tree Search2020/2/1
- Learning to Predict Ego-Vehicle Poses for Sampling-Based Nonholonomic Motion Planning2018/12/1
- Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States2018/9/1
- Decentralized Cooperative Planning for Automated Vehicles with Continuous Monte Carlo Tree Search2018/9/1