A Comprehensive Study on Self-Learning Methods and Implications to Autonomous Driving
J Xing, D Wei, S Zhou, T Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As artificial intelligence (AI) has already seen numerous successful applications, the
upcoming challenge lies in how to realize artificial general intelligence (AGI). Self-learning …
upcoming challenge lies in how to realize artificial general intelligence (AGI). Self-learning …
A bayesian optimization method for finding the worst-case scenarios of autonomous vehicles
Scenario-based testing has become a crucial method for certifying the safety of autonomous
vehicles amidst the rapid advancement of autonomous driving technology. The exploration …
vehicles amidst the rapid advancement of autonomous driving technology. The exploration …
Life-long Learning and Testing for Automated Vehicles via Adaptive Scenario Sampling as A Continuous Optimization Process
Sampling critical testing scenarios is an essential step in intelligence testing for Automated
Vehicles (AVs). However, due to the lack of prior knowledge on the distribution of critical …
Vehicles (AVs). However, due to the lack of prior knowledge on the distribution of critical …
An Accelerated Filter for Critical Scenario Identification in Automated Driving Function Testing: A Model-Free Approach
Automated Vehicle (AV) safety is a critical issue and appeals to worldwide focus. To ensure
AV safety, AV functions should be tested and evaluated in an enormous number of …
AV safety, AV functions should be tested and evaluated in an enormous number of …
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 …
Global-Mapping-Consistency-Constrained Visual-Semantic Embedding for Interpreting Autonomous Perception Models
C Zhang, M Yuan, X Ma, P Wei, Y Su… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
From the perspective of artificial intelligence evaluation, the need to discover and explain
the potential shortness of the evaluated intelligent algorithms/systems as well as the need to …
the potential shortness of the evaluated intelligent algorithms/systems as well as the need to …