Pavement defect detection with deep learning: A comprehensive survey
Pavement defect detection is of profound significance regarding road safety, so it has been a
trending research topic. In the past years, deep learning based methods have turned into a …
trending research topic. In the past years, deep learning based methods have turned into a …
Chat with chatgpt on intelligent vehicles: An ieee tiv perspective
This letter reports on a TIV DHW (decentralized and hybrid workshop) that explores the
prospective influence of ChatGPT on research and development in intelligent vehicles. To …
prospective influence of ChatGPT on research and development in intelligent vehicles. To …
Introspection of dnn-based perception functions in automated driving systems: State-of-the-art and open research challenges
Automated driving systems (ADSs) aim to improve the safety, efficiency and comfort of future
vehicles. To achieve this, ADSs use sensors to collect raw data from their environment. This …
vehicles. To achieve this, ADSs use sensors to collect raw data from their environment. This …
Redformer: Radar enlightens the darkness of camera perception with transformers
Enhancing the accuracy and reliability of perception systems in automated vehicles is
critical, especially under varying driving conditions. Unfortunately, the challenges of adverse …
critical, especially under varying driving conditions. Unfortunately, the challenges of adverse …
Global perception-based robust parking space detection using a low-cost camera
In the city, parking space detection can help car owners save time in finding parking spaces,
and it can also provide help for autonomous parking. However, existing parking space …
and it can also provide help for autonomous parking. However, existing parking space …
Online deep learning control of an autonomous surface vehicle using learned dynamics
Realtime model learning is a challenging task for autonomous surface vehicles (ASVs)
sailing in a variable sea environment. Deep learning based on deep neural networks …
sailing in a variable sea environment. Deep learning based on deep neural networks …
Vision-Language Interaction via Contrastive Learning for Surface Anomaly Detection in Consumer Electronics Manufacturing
As the consumer electronics industry develops, surface anomaly detection methods support
the identification of anomalous products that have surface flaws and defects to prevent them …
the identification of anomalous products that have surface flaws and defects to prevent them …
Enhancing Autonomous Vehicle Safety Based on Operational Design Domain Definition, Monitoring, and Functional Degradation: A Case Study on Lane Keeping …
Z Jiang, W Pan, J Liu, Y Han, Z Pan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Autonomous vehicles encounter safety challenges in dynamic and unpredictable
environments at present. To address this issue, this paper introduces a series of safety …
environments at present. To address this issue, this paper introduces a series of safety …
A Multimodal Approach for Bridge Inspection
H Ma, Z Wang, Z Shen, H Zhang, C Li… - … on Systems, Man, and …, 2023 - ieeexplore.ieee.org
With the exacerbation of bridge aging issues, the demand for efficient and cost-effective
bridge inspection solutions becomes increasingly urgent. Currently, most methods for …
bridge inspection solutions becomes increasingly urgent. Currently, most methods for …
Systematic Review: Anomaly Detection in Connected and Autonomous Vehicles
JRV Solaas, N Tuptuk, E Mariconti - arXiv preprint arXiv:2405.02731, 2024 - arxiv.org
This systematic review focuses on anomaly detection for connected and autonomous
vehicles. The initial database search identified 2160 articles, of which 203 were included in …
vehicles. The initial database search identified 2160 articles, of which 203 were included in …