Krzysztof Czarnecki
収録論文 23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
- Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles2024/4/1
- SSL-Interactions: Pretext Tasks for Interactive Trajectory Prediction2024/1/1
- FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs2022/11/1
- Out-of-Distribution Detection for LiDAR-based 3D Object Detection2022/9/1
- SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving2022/6/1
- A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation2022/6/1
- A Safety Assurable Human-Inspired Perception Architecture2022/5/1
- A Driver-Vehicle Model for ADS Scenario-based Testing2022/5/1
- Generalized dynamic cognitive hierarchy models for strategic driving behavior2021/9/1
- I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames2021/9/1
- The missing link: Developing a safety case for perception components in automated driving2021/8/1
- Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations2020/10/1
- Solution Concepts in Hierarchical Games under Bounded Rationality with Applications to Autonomous Driving2020/9/1
- Universally Safe Swerve Manoeuvres for Autonomous Driving2020/1/1
- MLOD: A multi-view 3D object detection based on robust feature fusion method2019/9/1
- TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data2019/9/1
- Design Space of Behaviour Planning for Autonomous Driving2019/8/1
- FANTrack: 3D Multi-Object Tracking with Feature Association Network2019/5/1
- Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception2019/5/1
- A behavior driven approach for sampling rare event situations for autonomous vehicles2019/3/1
- Learning a Lattice Planner Control Set for Autonomous Vehicles2019/3/1
- Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving2019/3/1
- Urban Driving with Multi-Objective Deep Reinforcement Learning2018/11/1