Survey on scenario-based safety assessment of automated vehicles
S Riedmaier, T Ponn, D Ludwig, B Schick… - IEEE …, 2020 - ieeexplore.ieee.org
When will automated vehicles come onto the market? This question has puzzled the
automotive industry and society for years. The technology and its implementation have …
automotive industry and society for years. The technology and its implementation have …
Finding critical scenarios for automated driving systems: A systematic mapping study
Scenario-based approaches have been receiving a huge amount of attention in research
and engineering of automated driving systems. Due to the complexity and uncertainty of the …
and engineering of automated driving systems. Due to the complexity and uncertainty of the …
An adoption-implementation framework of digital green knowledge to improve the performance of digital green innovation practices for industry 5.0
S Yin, Y Yu - Journal of Cleaner Production, 2022 - Elsevier
Despite the current slowdown in global economic growth due to the impact of COVID-19, the
digital economy is still performing well. Under the background of double carbon, green …
digital economy is still performing well. Under the background of double carbon, green …
Finding critical scenarios for automated driving systems: A systematic literature review
Scenario-based approaches have been receiving a huge amount of attention in research
and engineering of automated driving systems. Due to the complexity and uncertainty of the …
and engineering of automated driving systems. Due to the complexity and uncertainty of the …
A novel integrated simulation and testing platform for self-driving cars with hardware in the loop
Effective simulation and testing environment is a vital part in the research of self-driving
vehicles. It is capable of testing self-driving software and hardware quickly in a variety of …
vehicles. It is capable of testing self-driving software and hardware quickly in a variety of …
Dynamic testing for autonomous vehicles using random quasi monte carlo
The substantial resource usage required to create ample scenarios for testing Autonomous
Vehicles (AV) presents a bottleneck in their implementation. At present, research relies on …
Vehicles (AV) presents a bottleneck in their implementation. At present, research relies on …
Worst perception scenario search for autonomous driving
Achieving excellent generalization on perceiving real traffic scenarios with diversity is the
long-term goal for building robust autonomous driving systems. In this paper, we propose to …
long-term goal for building robust autonomous driving systems. In this paper, we propose to …
Worst Perception Scenario Search via Recurrent Neural Controller and K-Reciprocal Re-Ranking
Achieving excellent generalization on perceiving real traffic scenarios with diversity is the
long-term goal for building robust autonomous driving systems. A recent theoretical study …
long-term goal for building robust autonomous driving systems. A recent theoretical study …
Unsupervised video anomaly detection with self-attention based feature aggregating
Anomaly detection in surveillance videos is a crucial and challenging task in the intelligent
transportation systems. Previous methods utilize a memory module to store prototypical …
transportation systems. Previous methods utilize a memory module to store prototypical …
Large Models Defining a New Era in Intelligence Testing: A Short Discussion and Exploration
This perspective presents a short yet comprehensive discussion on the rapid advancements
in the field of intelligent system testing enhancing by large models. We delve into the pivotal …
in the field of intelligent system testing enhancing by large models. We delve into the pivotal …