Eric Sax
収録論文 17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
- Embodied4C: Measuring What Matters for Embodied Vision-Language Navigation2025/12/1
- R4: Retrieval-Augmented Reasoning for Vision-Language Models in 4D Spatio-Temporal Space2025/12/1
- SNOW: Spatio-Temporal Scene Understanding with World Knowledge for Open-World Embodied Reasoning2025/12/1
- A Framework for a Capability-driven Evaluation of Scenario Understanding for Multimodal Large Language Models in Autonomous Driving2025/3/1
- Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review2024/9/1
- Navigating Dimensionality through State Machines in Automotive System Validation2024/8/1
- Behavior Forests: Real-Time Discovery of Dynamic Behavior for Data Selection2024/7/1
- CLIPping the Limits: Finding the Sweet Spot for Relevant Images in Automated Driving Systems Perception Testing2024/4/1
- The Machine Vision Iceberg Explained: Advancing Dynamic Testing by Considering Holistic Environmental Relations2024/1/1
- EfficientPPS: Part-aware Panoptic Segmentation of Transparent Objects for Robotic Manipulation2023/12/1
- Unveiling Objects with SOLA: An Annotation-Free Image Search on the Object Level for Automotive Data Sets2023/12/1
- Clustering-based Criticality Analysis for Testing of Automated Driving Systems2023/6/1
- Focus on the Challenges: Analysis of a User-friendly Data Search Approach with CLIP in the Automotive Domain2023/4/1
- 1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey2023/4/1
- Inverse Universal Traffic Quality -- a Criticality Metric for Crowded Urban Traffic Scenes2023/4/1
- Fingerprint of a Traffic Scene: an Approach for a Generic and Independent Scene Assessment2022/11/1
- An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios2022/5/1