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 …
Receive, reason, and react: Drive as you say, with large language models in autonomous vehicles
The fusion of human-centric design and artificial intelligence capabilities has opened up
new possibilities for next-generation autonomous vehicles that go beyond traditional …
new possibilities for next-generation autonomous vehicles that go beyond traditional …
Online monocular lane mapping using catmull-rom spline
In this study, we introduce an online monocular lane mapping approach that solely relies on
a single camera and odometry for generating spline-based maps. Our proposed technique …
a single camera and odometry for generating spline-based maps. Our proposed technique …
MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding
Vision-language generative AI has demonstrated remarkable promise for empowering cross-
modal scene understanding of autonomous driving and high-definition (HD) map systems …
modal scene understanding of autonomous driving and high-definition (HD) map systems …
High‐definition map automatic annotation system based on active learning
As autonomous vehicle technology advances, high‐definition (HD) maps have become
essential for ensuring safety and navigation accuracy. However, creating HD maps with …
essential for ensuring safety and navigation accuracy. However, creating HD maps with …
Cemformer: Learning to predict driver intentions from in-cabin and external cameras via spatial-temporal transformers
Driver intention prediction seeks to anticipate drivers' actions by analyzing their behaviors
with respect to surrounding traffic environments. Existing approaches primarily focus on late …
with respect to surrounding traffic environments. Existing approaches primarily focus on late …
MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation
Online high-definition (HD) map construction is an important and challenging task in
autonomous driving. Recently, there has been a growing interest in cost-effective multi-view …
autonomous driving. Recently, there has been a growing interest in cost-effective multi-view …