Why did the AI make that decision? Towards an explainable artificial intelligence (XAI) for autonomous driving systems

Explainability of Deep Vision-Based Autonomous Driving Systems: Review and Challenges

(2022) Éloi Zablocki et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets

(2022) Iuliia Kotseruba et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep reinforcement learning

(2022) Duowei Li et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning

(2021) Xuan Di et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles

(2021) Sikai Chen et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Multi-scale driver behavior modeling based on deep spatial-temporal representation for intelligent vehicles

(2021) Yang Xing et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment

(2021) Jiqian Dong et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment

(2021) Haotian Shi et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Comfortable and energy-efficient speed control of autonomous vehicles on rough pavements using deep reinforcement learning

(2021) Yuchuan Du et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness

(2021) Guofa Li et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Driving behavior explanation with multi-level fusion

(2021) Hédi Ben-Younes et al.   PATTERN RECOGNITION

Explanations in Autonomous Driving: A Survey

(2021) Daniel Omeiza et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Cyber-physical system architecture for automating the mapping of truck loads to bridge behavior using computer vision in connected highway corridors

(2020) Rui Hou et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Forecasting road traffic speeds by considering area-wide spatio-temporal dependencies based on a graph convolutional neural network (GCN)

(2020) Byeonghyeop Yu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Multi-vehicle routing problems with soft time windows: A multi-agent reinforcement learning approach

(2020) Ke Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Urban flow prediction with spatial–temporal neural ODEs

(2020) Fan Zhou et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

DeepPF: A deep learning based architecture for metro passenger flow prediction

(2019) Yang Liu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A deep learning algorithm for simulating autonomous driving considering prior knowledge and temporal information

(2019) Sikai Chen et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

An effective spatial-temporal attention based neural network for traffic flow prediction

(2019) Loan N.N. Do et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Predicting the Driver's Focus of Attention: the DR(eye)VE Project

(2018) Andrea Palazzi et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Perceptions of autonomous vehicles: Relationships with road users, risk, gender and age

(2018) Lynn M. Hulse et al.   SAFETY SCIENCE

Automated vision inspection of rail surface cracks: A double-layer data-driven framework

(2018) Li Zhuang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A Survey of Methods for Explaining Black Box Models

(2018) Riccardo Guidotti et al.   ACM COMPUTING SURVEYS