Introduction Tesla’s FSD has popularized self-supervised learning, and large models like GPT also utilize the concept of self-supervised learning. As we know, the cost of supervised learning is prohibitively high, especially for complex tasks, such as FSD systems. Tesla has collected training data exceeding 400 million kilometers, and without the help of an “automated labeling … Read more
Follow our WeChat public account to discover the beauty of CV technology This article shares the CVPR 2024 paper LiDAR Diffusion: Towards Realistic Scene Generation with LiDAR Diffusion Models, which utilizes LiDAR diffusion models to generate realistic scenes. Details are as follows: Paper link: https://arxiv.org/abs/2404.00815 Code link: https://github.com/hancyran/LiDAR-Diffusion Project homepage: https://lidar-diffusion.github.io/ Background In recent years, … Read more
Q1 What is an AI Agent? An AI Agent is an artificial intelligence system that possesses the ability to make autonomous decisions and execute tasks. They can perceive the environment, process information, make decisions, and take actions, often used to simulate or replace human behavior. Q2 What are the main characteristics of AI Agents? 1. … Read more
200,000, this is the total number of users New Intelligence has reached today. On the journey to an intelligent universe, we thank every friend who travels with New Intelligence. Your attention and support is the inexhaustible fuel for the “New Intelligence” starship. 200,000, every passenger is invaluable to us. We hope to deepen our understanding … Read more
The development of AI technology brings a brighter future for autonomous driving. Author | Juice Editor | Zhihao The domestic autonomous driving industry is welcoming a spring. Recently, four departments in China jointly issued a notice on the pilot work for the access and road use of intelligent connected vehicles, which formally specified the access … Read more
Source｜Public Account: Heart of Autonomous Driving Autonomous vehicles require continuous environmental perception to understand the distribution of obstacles for safe driving. Specifically, 3D object detection is a crucial functional module as it can predict the category, location, and size of surrounding objects simultaneously. Generally, autonomous cars are equipped with multiple sensors, including cameras and LiDAR. … Read more
This article first summarizes the development history of large model technology, the iterative path of autonomous driving models, and the role of large models in the autonomous driving industry. Next, it details the basic definition, fundamental functions, and key technologies of large models, especially the Transformer attention mechanism and the pre-training-fine-tuning paradigm. The article also … Read more
Source | Heart of Autonomous Driving Editor | Deep Blue Academy Paper Link: https://arxiv.org/pdf/2205.13281.pdf Paper Title: Surround-view Fisheye Camera Perception for Automated Driving: Overview, Survey & Challenges Key Focus Areas of the Paper The surround-view fisheye camera is commonly used for close-range perception in autonomous driving, with four fisheye cameras around the vehicle covering a … Read more
Source | Heart of Autonomous Driving Editor | Deep Blue Academy How Does Computer Vision Effectively Perceive In Complex Environments? In recent years, the application of computer vision in Intelligent Transportation Systems (ITS) and Autonomous Driving (AD) has gradually shifted towards deep neural network architectures. Although performance on benchmark datasets seems to have improved, many … Read more
MLNLP(Machine Learning Algorithms and Natural Language Processing) community is a well-known natural language processing community at home and abroad, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The Vision of the Communityis to promote communication and progress between the academic and industrial circles of natural language processing and machine learning at home … Read more