Home Technology peripherals It Industry Beijing Subway Line 12 begins no-load trial operation, equipped with fully automatic driverless function

Beijing Subway Line 12 begins no-load trial operation, equipped with fully automatic driverless function

Mar 21, 2024 am 08:11 AM
Autopilot subway Beijing subway

News from this site on March 20, according to the Beijing Evening News, Beijing Metro Line 12 has completed the debugging of the train, achieved track access, electric access, signal access, and communication access, and successfully completed cold and hot sliding tests for the entire line. All 42 subway trains on Line 12 have arrived at the section and will start no-load trial operation for no less than 3 months. According to the plan, Line 12 will be put into trial operation within the year.

北京地铁 12 号线开始空载试运行,具备全自动无人驾驶功能

Metro Line 12 is a rail transit line mainly laid east-west along the North Third Ring Road, with a total length of about 30 kilometers and 21 stations. , spanning the four administrative districts of Haidian, Xicheng, Dongcheng and Chaoyang, connecting Century City, Shuangyushu, Dazhong Temple, Beitaipingzhuang, Madian, Anzhen, Sanyuanqiao, Jiuxianqiao, Dongba and other residential areas, commercial areas and important Ribbon.

According to our understanding, no-load trial operation refers to the comprehensive testing and verification of vehicles, power supply, signaling and other systems, and at the same time, the full running-in between people and equipment, systems and systems. The line can be put into operation only after passing no-load trial operation, trial operation according to the drawing, completion acceptance and operation evaluation.

It is reported that Metro Line 12 has initially achieved fully automatic driverless functions.

The above is the detailed content of Beijing Subway Line 12 begins no-load trial operation, equipped with fully automatic driverless function. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
WWE 2K25: How To Unlock Everything In MyRise
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Why is Gaussian Splatting so popular in autonomous driving that NeRF is starting to be abandoned? Why is Gaussian Splatting so popular in autonomous driving that NeRF is starting to be abandoned? Jan 17, 2024 pm 02:57 PM

Written above & the author’s personal understanding Three-dimensional Gaussiansplatting (3DGS) is a transformative technology that has emerged in the fields of explicit radiation fields and computer graphics in recent years. This innovative method is characterized by the use of millions of 3D Gaussians, which is very different from the neural radiation field (NeRF) method, which mainly uses an implicit coordinate-based model to map spatial coordinates to pixel values. With its explicit scene representation and differentiable rendering algorithms, 3DGS not only guarantees real-time rendering capabilities, but also introduces an unprecedented level of control and scene editing. This positions 3DGS as a potential game-changer for next-generation 3D reconstruction and representation. To this end, we provide a systematic overview of the latest developments and concerns in the field of 3DGS for the first time.

How to solve the long tail problem in autonomous driving scenarios? How to solve the long tail problem in autonomous driving scenarios? Jun 02, 2024 pm 02:44 PM

Yesterday during the interview, I was asked whether I had done any long-tail related questions, so I thought I would give a brief summary. The long-tail problem of autonomous driving refers to edge cases in autonomous vehicles, that is, possible scenarios with a low probability of occurrence. The perceived long-tail problem is one of the main reasons currently limiting the operational design domain of single-vehicle intelligent autonomous vehicles. The underlying architecture and most technical issues of autonomous driving have been solved, and the remaining 5% of long-tail problems have gradually become the key to restricting the development of autonomous driving. These problems include a variety of fragmented scenarios, extreme situations, and unpredictable human behavior. The "long tail" of edge scenarios in autonomous driving refers to edge cases in autonomous vehicles (AVs). Edge cases are possible scenarios with a low probability of occurrence. these rare events

Choose camera or lidar? A recent review on achieving robust 3D object detection Choose camera or lidar? A recent review on achieving robust 3D object detection Jan 26, 2024 am 11:18 AM

0.Written in front&& Personal understanding that autonomous driving systems rely on advanced perception, decision-making and control technologies, by using various sensors (such as cameras, lidar, radar, etc.) to perceive the surrounding environment, and using algorithms and models for real-time analysis and decision-making. This enables vehicles to recognize road signs, detect and track other vehicles, predict pedestrian behavior, etc., thereby safely operating and adapting to complex traffic environments. This technology is currently attracting widespread attention and is considered an important development area in the future of transportation. one. But what makes autonomous driving difficult is figuring out how to make the car understand what's going on around it. This requires that the three-dimensional object detection algorithm in the autonomous driving system can accurately perceive and describe objects in the surrounding environment, including their locations,

Have you really mastered coordinate system conversion? Multi-sensor issues that are inseparable from autonomous driving Have you really mastered coordinate system conversion? Multi-sensor issues that are inseparable from autonomous driving Oct 12, 2023 am 11:21 AM

The first pilot and key article mainly introduces several commonly used coordinate systems in autonomous driving technology, and how to complete the correlation and conversion between them, and finally build a unified environment model. The focus here is to understand the conversion from vehicle to camera rigid body (external parameters), camera to image conversion (internal parameters), and image to pixel unit conversion. The conversion from 3D to 2D will have corresponding distortion, translation, etc. Key points: The vehicle coordinate system and the camera body coordinate system need to be rewritten: the plane coordinate system and the pixel coordinate system. Difficulty: image distortion must be considered. Both de-distortion and distortion addition are compensated on the image plane. 2. Introduction There are four vision systems in total. Coordinate system: pixel plane coordinate system (u, v), image coordinate system (x, y), camera coordinate system () and world coordinate system (). There is a relationship between each coordinate system,

This article is enough for you to read about autonomous driving and trajectory prediction! This article is enough for you to read about autonomous driving and trajectory prediction! Feb 28, 2024 pm 07:20 PM

Trajectory prediction plays an important role in autonomous driving. Autonomous driving trajectory prediction refers to predicting the future driving trajectory of the vehicle by analyzing various data during the vehicle's driving process. As the core module of autonomous driving, the quality of trajectory prediction is crucial to downstream planning control. The trajectory prediction task has a rich technology stack and requires familiarity with autonomous driving dynamic/static perception, high-precision maps, lane lines, neural network architecture (CNN&GNN&Transformer) skills, etc. It is very difficult to get started! Many fans hope to get started with trajectory prediction as soon as possible and avoid pitfalls. Today I will take stock of some common problems and introductory learning methods for trajectory prediction! Introductory related knowledge 1. Are the preview papers in order? A: Look at the survey first, p

SIMPL: A simple and efficient multi-agent motion prediction benchmark for autonomous driving SIMPL: A simple and efficient multi-agent motion prediction benchmark for autonomous driving Feb 20, 2024 am 11:48 AM

Original title: SIMPL: ASimpleandEfficientMulti-agentMotionPredictionBaselineforAutonomousDriving Paper link: https://arxiv.org/pdf/2402.02519.pdf Code link: https://github.com/HKUST-Aerial-Robotics/SIMPL Author unit: Hong Kong University of Science and Technology DJI Paper idea: This paper proposes a simple and efficient motion prediction baseline (SIMPL) for autonomous vehicles. Compared with traditional agent-cent

nuScenes' latest SOTA | SparseAD: Sparse query helps efficient end-to-end autonomous driving! nuScenes' latest SOTA | SparseAD: Sparse query helps efficient end-to-end autonomous driving! Apr 17, 2024 pm 06:22 PM

Written in front & starting point The end-to-end paradigm uses a unified framework to achieve multi-tasking in autonomous driving systems. Despite the simplicity and clarity of this paradigm, the performance of end-to-end autonomous driving methods on subtasks still lags far behind single-task methods. At the same time, the dense bird's-eye view (BEV) features widely used in previous end-to-end methods make it difficult to scale to more modalities or tasks. A sparse search-centric end-to-end autonomous driving paradigm (SparseAD) is proposed here, in which sparse search fully represents the entire driving scenario, including space, time, and tasks, without any dense BEV representation. Specifically, a unified sparse architecture is designed for task awareness including detection, tracking, and online mapping. In addition, heavy

Guangdong's cross-city 'subway' opens today: 258 kilometers in length, spanning 5 cities including Guangzhou and Huizhou Guangdong's cross-city 'subway' opens today: 258 kilometers in length, spanning 5 cities including Guangzhou and Huizhou Jun 13, 2024 pm 01:46 PM

According to news from this website on May 26, at 12 noon today, the Guangzhou-Foshan South Ring Road and the Foshan-Dongguan Intercity Intercity will be officially opened for operation. At that time, they will be connected end-to-end with the already-opened Foshan-Zhaozhou Intercity and Dongguan-Huizhou Intercity, forming a line spanning Guangzhou, There are 258 kilometers of cross-city "subway" in five cities: Foshan, Zhaoqing, Dongguan, and Huizhou. ▲Picture source "Guangdong Intercity" public account, after the opening of the two intercity lines below, the intercity railway mileage operated by Guangzhou Metro Group will reach 318.6 kilometers, with Panyu Station as the center and Guangzhou Intercity to the west , to the east is Guanghui Intercity, connecting Guangzhou, Foshan, Zhaoqing, Dongguan and Huizhou. There are 39 stations on the entire line, including 5 in Guangzhou, 9 in Foshan, 6 in Zhaoqing, 12 in Dongguan, and 7 in Huizhou. The maximum train speed is 200 kilometers per hour. This site includes various sections

See all articles