A survey on multimodal large language models for autonomous driving
With the emergence of Large Language Models (LLMs) and Vision Foundation Models
(VFMs), multimodal AI systems benefiting from large models have the potential to equally …
(VFMs), multimodal AI systems benefiting from large models have the potential to equally …
Learning for vehicle-to-vehicle cooperative perception under lossy communication
Deep learning has been widely used in intelligent vehicle driving perception systems, such
as 3D object detection. One promising technique is Cooperative Perception, which …
as 3D object detection. One promising technique is Cooperative Perception, which …
VistaGPT: Generative parallel transformers for vehicles with intelligent systems for transport automation
Diverse transport demands have resulted in the wide existence of heterogeneous vehicle
automation systems. While these systems have demonstrated effectiveness, they also pose …
automation systems. While these systems have demonstrated effectiveness, they also pose …
Advanced scenario generation for calibration and verification of autonomous vehicles
As driving scenarios and autonomous vehicles (AVs) become increasingly intricating, there
is an increasing need for innovative frameworks that can enhance and test AV capabilities …
is an increasing need for innovative frameworks that can enhance and test AV capabilities …
Milestones in autonomous driving and intelligent vehicles—part ii: Perception and planning
A growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their
promise for enhanced safety, efficiency, and economic benefits. While previous surveys …
promise for enhanced safety, efficiency, and economic benefits. While previous surveys …
Dilu: A knowledge-driven approach to autonomous driving with large language models
Recent advancements in autonomous driving have relied on data-driven approaches, which
are widely adopted but face challenges including dataset bias, overfitting, and …
are widely adopted but face challenges including dataset bias, overfitting, and …
Sora for senarios engineering of intelligent vehicles: V&V, C&C, and beyonds
The advent of Scenarios Engineering (SE) paves the way to a new era of intelligent vehicles
(IVs), driven by Artificial Intelligence (AI)-enabled strategies. It aims at shaping the IVs to be …
(IVs), driven by Artificial Intelligence (AI)-enabled strategies. It aims at shaping the IVs to be …
Blockchain-based cooperative computation offloading and secure handover in vehicular edge computing networks
Facing the requirements of intelligent vehicles for massive data processing, vehicular edge
computing (VEC) utilizes computing resources deployed on the roadside infrastructure to …
computing (VEC) utilizes computing resources deployed on the roadside infrastructure to …
[PDF][PDF] A new era of intelligent vehicles and intelligent transportation systems: Digital twins and parallel intelligence
● By March 25, our transaction has received a total of 619 original submissions. Our current
average number of submissions per day (SPD) rate is 7.37. Given this SPD, I would like to …
average number of submissions per day (SPD) rate is 7.37. Given this SPD, I would like to …
Mobility 5.0: Smart logistics and transportation services in cyber-physical-social systems
The logistics and transportation industry has made significant progress in improving
sustainability, efficiency, and accessibility, primarily due to the continuous development of …
sustainability, efficiency, and accessibility, primarily due to the continuous development of …