Sense-Assess-eXplain (SAX): building trust in autonomous vehicles in challenging real-world driving scenarios

Sense-Assess-eXplain (SAX): building trust in autonomous vehicles in challenging real-world driving scenarios

This paper discusses ongoing work in demonstrating research in mobile autonomy in challenging driving scenarios. In our approach, we address fundamental technical issues to overcome critical barriers to assurance and regulation for largescale deployments of autonomous systems. To this end, we presen...

書目詳細資料
Main Authors:	Gadd, M, de Martini, D, Marchegiani, M, Newman, P, Kunze, L
格式:	Conference item
語言:	English
出版:	IEEE 2021

相似書籍

Towards Safer Heuristics With Xplain
由: Karimi, Pantea, et al.
出版: (2024)

Improving Data Quality Control in the Xplain-DBMS
由: J A Bakker
出版: (2012-02-01)

Why not explain? effects of explanations on human perceptions of autonomous driving
由: Omeiza, D, et al.
出版: (2021)

Keep off the grass: permissible driving routes from radar with weak audio supervision
由: Williams, D, et al.
出版: (2020)

Assessing and explaining collision risk in dynamic environments for autonomous driving safety
由: Nahata, R, et al.
出版: (2021)

Intersection Vehicle Turning Control for Fully Autonomous Driving Scenarios
由: Zhizhong Ding, et al.
出版: (2021-06-01)

Motion Planning for Dynamic Scenario Vehicles in Autonomous-Driving Simulations
由: Yanfeng Li
出版: (2023-01-01)

Decision-Making Model for Dynamic Scenario Vehicles in Autonomous Driving Simulations
由: Yanfeng Li, et al.
出版: (2023-07-01)

FeedSax
由: McKerracher, M
出版: (2017)

SEM-GAT: explainable semantic pose estimation using learned graph attention
由: Panagiotaki, E, et al.
出版: (2024)

From spoken thoughts to automated driving commentary: Predicting and explaining intelligent vehicles' actions
由: Omeiza, D, et al.
出版: (2022)

Scenario detection for autonomous vehicle
由: Zhang, Wei
出版: (2019)

Sensing and Connection Systems for Assisted and Autonomous Driving and Unmanned Vehicles
由: Sergio Saponara
出版: (2018-06-01)

Trusting autonomous vehicles: An interdisciplinary approach
由: Kaspar Raats, et al.
出版: (2020-09-01)

Sax in gold [rekod]
由: Greger, Max

Sax in gold [kaset]
由: Greger, Max

Towards explainable and trustworthy autonomous physical systems
由: Omeiza, D, et al.
出版: (2021)

Spike-Based Vision for Autonomous Driving Scenarios
由: Zhang Jiyuan, et al.
出版: (2024-02-01)

A Precrash Scenario Analysis Comparing Safety Performance across Autonomous Vehicle Driving Modes
由: Tao Wang, et al.
出版: (2024-01-01)

Quantification and Pictorial Expression of Driving Status Domain Boundaries for Autonomous Vehicles in LTAP/OD Scenarios
由: Xuan Ren, et al.
出版: (2023-07-01)

LiDAR-Based Sensor Fusion SLAM and Localization for Autonomous Driving Vehicles in Complex Scenarios
由: Kai Dai, et al.
出版: (2023-02-01)

Benchmarking 2D Multi-Object Detection and Tracking Algorithms in Autonomous Vehicle Driving Scenarios
由: Diego Gragnaniello, et al.
出版: (2023-04-01)

Language of Driving for Autonomous Vehicles
由: Krister Kalda, et al.
出版: (2022-05-01)

Competitive Driving of Autonomous Vehicles
由: Gabriel Hartmann, et al.
出版: (2022-01-01)

Explanations in autonomous driving: a survey
由: Omeiza, D, et al.
出版: (2021)

Overview and prospect of communication-sensing-computing integration for autonomous driving in the internet of vehicles
由: Zhong-gui MA, et al.
出版: (2023-01-01)

Personalized Driving Styles in Safety-Critical Scenarios for Autonomous Vehicles: An Approach Using Driver-in-the-Loop Simulations
由: Ioana-Diana Buzdugan, et al.
出版: (2023-09-01)

Research on Pedestrian Tracking Technology for Autonomous Driving Scenarios
由: Xiaoyan Zhang, et al.
出版: (2024-01-01)

Contemporary crafts and the Saxe collection /
由: 379487 Taragin, Davira S., et al.
出版: (1993)

StreamSAXS: a Python-based workflow platform for processing streaming SAXS/WAXS data
由: Jiayi Wang, et al.
出版: (2024-09-01)

Unfreezing autonomous vehicles with game theory, proxemics, and trust
由: Fanta Camara, et al.
出版: (2022-10-01)

Vehicle energy systems for autonomous driving
由: Goh, Daniel Jun Hao
出版: (2020)

Anomaly detection for autonomous driving vehicles
由: Chen, Kuilin
出版: (2022)

TrustFSDV: Framework for Building and Maintaining Trust in Self-Driving Vehicles
由: Kaya Kuru
出版: (2022-01-01)

Development and testing of an image transformer for explainable autonomous driving systems
由: Jiqian Dong, et al.
出版: (2022-10-01)

An Explainable Attention Zone Estimation for Level 3 Autonomous Driving
由: Roksana Yahyaabadi, et al.
出版: (2023-01-01)

Safedrive dreamer: Navigating safety–critical scenarios in autonomous driving with world models
由: Haitao Li, et al.
出版: (2025-01-01)

Performance Analysis of NDT-based Graph SLAM for Autonomous Vehicle in Diverse Typical Driving Scenarios of Hong Kong
由: Weisong Wen, et al.
出版: (2018-11-01)

Risk and Complexity Assessment of Autonomous Vehicle Testing Scenarios
由: Zhiyuan Wei, et al.
出版: (2024-10-01)

Is human-like decision making explainable? Towards an explainable artificial intelligence for autonomous vehicles
由: Jiming Xie, et al.
出版: (2025-01-01)