Autonomous Driving

LiDM: The First Method to Generate Realistic Lidar Scenes Based on Multimodal Conditions

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LiDM: The First Method to Generate Realistic Lidar Scenes Based on Multimodal Conditions

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

Digital Literacy | What Is an AI Agent?

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Digital Literacy | What Is an AI Agent?

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

Unexpected Weaknesses in Neural Network Visual Classification Algorithms

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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

Digital Twin + AIGC: Accelerating Autonomous Driving Implementation

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Digital Twin + AIGC: Accelerating Autonomous Driving Implementation

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

Latest Review on Multi-Modal 3D Object Detection in Autonomous Driving

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Latest Review on Multi-Modal 3D Object Detection in Autonomous Driving

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

Applications and Impacts of Large Model Technology in Autonomous Driving

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Applications and Impacts of Large Model Technology in Autonomous Driving

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

Overview of Fisheye Camera Models in Computer Vision

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Overview of Fisheye Camera Models in Computer Vision

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

Overview Of Computer Vision Problems In Complex Environments

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Overview Of Computer Vision Problems In Complex Environments

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

Overview of 50+ Multimodal Image Fusion Methods

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Overview of 50+ Multimodal Image Fusion Methods

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

In-Depth Discussion on Pangu Model 5.0 and Huawei AI Ecosystem

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In-Depth Discussion on Pangu Model 5.0 and Huawei AI Ecosystem

Huawei released the latest Pangu Model 5.0 during the HDC2024 keynote speech. What are the differences in the new version of the model? The highlights of this year’s Huawei Developer Conference (HDC) are definitely not just the HarmonyOS Next operating system. Yu Chengdong (Executive Director of Huawei, Chairman of the Terminal BG, and Chairman of … Read more