C Cui, Y Ma, X Cao, W Ye… - IEEE Intelligent …, 2024 - ieeexplore.ieee.org
The fusion of human-centric design and artificial intelligence capabilities has opened up new possibilities for next-generation autonomous vehicles that go beyond traditional …
Vision language models (VLMs) have shown impressive capabilities across a variety of tasks, from logical reasoning to visual understanding. This opens the door to richer …
W Wu, H Yao, M Zhang, Y Song, W Ouyang… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper does not present a novel method. Instead, it delves into an essential, yet must- know baseline in light of the latest advancements in Generative Artificial Intelligence …
H Lu, X Niu, J Wang, Y Wang, Q Hu… - Proceedings of the …, 2024 - openaccess.thecvf.com
Multimodal large language models (MLLMs) are designed to process and integrate information from multiple sources such as text speech images and videos. Despite its …
This paper explores the emerging knowledge-driven autonomous driving technologies. Our investigation highlights the limitations of current autonomous driving systems, in particular …
The aspiration of the next generation's autonomous driving (AD) technology relies on the dedicated integration and interaction among intelligent perception, prediction, planning, and …
Engineering Design is undergoing a transformative shift with the advent of AI, marking a new era in how we approach product, system, and service planning. Large language models …
Large language models (LLMs) have achieved superior performance in powering text- based AI agents, endowing them with decision-making and reasoning abilities akin to …
The rise of large foundation models, trained on extensive datasets, is revolutionizing the field of AI. Models such as SAM, DALL-E2, and GPT-4 showcase their adaptability by …