A survey on autonomous driving datasets: Statistics, annotation quality, and a future outlook
Autonomous driving has rapidly developed and shown promising performance due to recent
advances in hardware and deep learning techniques. High-quality datasets are fundamental …
advances in hardware and deep learning techniques. High-quality datasets are fundamental …
A survey on autonomous driving datasets: Data statistic, annotation, and outlook
Autonomous driving has rapidly developed and shown promising performance with recent
advances in hardware and deep learning methods. High-quality datasets are fundamental …
advances in hardware and deep learning methods. High-quality datasets are fundamental …
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving
D Bogdoll, I Hamdard, LN Rößler, F Geisler… - arXiv preprint arXiv …, 2024 - arxiv.org
The scale-up of autonomous vehicles depends heavily on their ability to deal with
anomalies, such as rare objects on the road. In order to handle such situations, it is …
anomalies, such as rare objects on the road. In order to handle such situations, it is …
Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies
The aspiration of the next generation's autonomous driving (AD) technology relies on the
dedicated integration and interaction among intelligent perception, prediction, planning, and …
dedicated integration and interaction among intelligent perception, prediction, planning, and …
Towards Scenario-and Capability-Driven Dataset Development and Evaluation: An Approach in the Context of Mapless Automated Driving
The foundational role of datasets in defining the capabilities of deep learning models has
led to their rapid proliferation. At the same time, published research focusing on the process …
led to their rapid proliferation. At the same time, published research focusing on the process …
LIDAR De-Snow Score (DSS): combining quality and perception metrics for optimised data filtering
The testing and safety cases of Assisted and Automated Driving functions require
considerations for non ideal environmental conditions, such as adverse and extreme …
considerations for non ideal environmental conditions, such as adverse and extreme …