The Road to Safe Automated Driving Systems: A Review of Methods Providing Safety Evidence
M Gyllenhammar, GR de Campos… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
In recent years, enormous investments in Automated Driving Systems (ADSs) have distinctly
advanced ADS technologies. Despite promises made by several high profile auto-makers, it …
advanced ADS technologies. Despite promises made by several high profile auto-makers, it …
An in-depth evaluation of deep learning-enabled adaptive approaches for detecting obstacles using sensor-fused data in autonomous vehicles
This paper delivers an exhaustive analysis of the fusion of multi-sensor technologies,
including traditional sensors such as cameras, Light Detection and Ranging (LiDAR), Radio …
including traditional sensors such as cameras, Light Detection and Ranging (LiDAR), Radio …
An emergency operation strategy and motion planning method for autonomous vehicle in emergency scenarios
Ensuring driving operational safety in emergency scenarios is paramount for autonomous
vehicles to prevent accidents, particularly when vehicle motion completely depends on …
vehicles to prevent accidents, particularly when vehicle motion completely depends on …
Safety Verification for Evasive Collision Avoidance in Autonomous Vehicles with Enhanced Resolutions
This paper presents a comprehensive hazard analysis, risk assessment, and loss evaluation
for an Evasive Minimum Risk Maneuvering (EMRM) system designed for autonomous …
for an Evasive Minimum Risk Maneuvering (EMRM) system designed for autonomous …
Chains: chain-based fusion safety system framework for intelligent connected vehicle
S Yang, B Sun, H Guang, R Wang, B Zheng, W Gong… - Chain, 2024 - ieeexplore.ieee.org
Intelligent connected vehicles, as the focus of the global automotive industry, are currently at
a critical stage of large-scale commercialization. However, during the development process …
a critical stage of large-scale commercialization. However, during the development process …
Edge Feature-Enhanced Network for Collision Risk Assessment Using Traffic Scene Graphs
A traffic scene graph effectively models relationships among traffic entities and holds
significant importance in enhancing the high-level scene-understanding capabilities of …
significant importance in enhancing the high-level scene-understanding capabilities of …
High-Resolution Safety Verification for Evasive Obstacle Avoidance in Autonomous Vehicles
A Arab, M Khaleghi, A Partovi… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
This paper presents a comprehensive hazard analysis, risk assessment, and loss evaluation
for an Evasive Minimum Risk Maneuvering (EMRM) system designed for autonomous …
for an Evasive Minimum Risk Maneuvering (EMRM) system designed for autonomous …
An Intelligent Chinese Driver Road Performance Assessment Model (RPAM) for Future Licensing Examinations
As the demand for private vehicles rises, there has been a gradual increase in the number of
motor vehicles on the roads, leading to a growing concern about addressing traffic safety …
motor vehicles on the roads, leading to a growing concern about addressing traffic safety …
A Graph-Based Approach to Automatic Car Reliability System Prediction with Probabilistic Modeling and Machine Learning
KS Krishna, BD Kumar, MD Reddy… - 2024 Third …, 2024 - ieeexplore.ieee.org
Reliability prediction in automotive systems undoubted represents a substantial part of
safety and customer satisfaction. a new graph-based probabilistic method and machine …
safety and customer satisfaction. a new graph-based probabilistic method and machine …