Will Maddern

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

A survey of deep learning techniques for autonomous driving

Wireless Communication Technologies for Safe Cooperative Cyber Physical Systems

Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age

Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

Visual Place Recognition: A Survey

Deep Learning for 3D Point Clouds: A Survey

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

Test Your Self-Driving Algorithm: An Overview of Publicly Available Driving Datasets and Virtual Testing Environments

Air-ground Matching: Appearance-based GPS-denied Urban Localization of Micro Aerial Vehicles

Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation

Survey on Scenario-Based Safety Assessment of Automated Vehicles

Is it Safe to Drive? An Overview of Factors, Metrics, and Datasets for Driveability Assessment in Autonomous Driving

Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification

Survey of advances and challenges in intelligent autonomy for distributed cyber‐physical systems

1 year, 1000 km: The Oxford RobotCar dataset

CAT-SLAM: probabilistic localisation and mapping using a continuous appearance-based trajectory