Found a total of 10000 related content
Let's talk about low-speed autonomous driving and high-speed autonomous driving in one article
Article Introduction:In a previously shared article: How to Make Self-Driving Cars "Recognize the Road", I mainly talked about the importance of high-precision maps in self-driving cars. A friend left a message, "If the author knew about the automatic mobile cars sorted by STO Express In a work scenario, I’m afraid you won’t have the views and opinions of this article?” In this dialogue, the related concepts of low-speed autonomous driving and high-speed autonomous driving were involved. Autonomous vehicles, also known as driverless vehicles, are an automated vehicle and a vehicle that requires driver assistance or does not require control at all. As an automated vehicle, a self-driving vehicle does not require human operation. Perceive the surrounding environment and complete navigation and travel tasks. The ultimate goal of autonomous driving development is that it can be accomplished by autonomous vehicles
2023-04-08
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How to make self-driving cars 'know the road'
Article Introduction:Just like human walking, self-driving cars also need to have the ability to think independently and make judgments and decisions about the traffic environment in order to complete the travel process. With the improvement of advanced assisted driving system technology, the safety of drivers driving cars continues to improve, and the degree of driver participation in driving decision-making is gradually reduced. Autonomous driving is getting closer and closer to us. Self-driving cars, also known as driverless cars, are essentially highly intelligent robots that can complete travel behaviors with only driver assistance or without driver operation at all. Autonomous driving is mainly realized through the perception layer, decision-making layer and execution layer. As an automated vehicle, autonomous vehicles can use additional radar (millimetre-wave radar, lidar), vehicle cameras, and global navigation satellite systems (G
2023-04-09
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Introduction to automobile intelligent driving technology implemented using Java
Article Introduction:With the continuous development of science and technology, automobile intelligence has become one of the development directions of the industry. Among them, automobile intelligent driving technology, as the core technology, has received extensive attention and research. This article will introduce the intelligent driving technology of automobiles implemented using Java. 1. Development status of automobile intelligent driving technology With the increasing traffic pressure and traffic accident rate of drivers, automobile intelligent driving technology has received extensive attention and research. According to a report released by the International Energy Agency in 2018, intelligent driving technology will become the main trend in future vehicle development. In recent years, the country
2023-06-18
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Commercial use of self-driving cars requires attention to algorithm safety regulations
Article Introduction:Under the development trend of automobile electrification, networking, and intelligence, and due to the rapid development of automobile autonomous driving technology, the automobile industry is increasingly approaching a fundamental change. However, in recent years, the safety challenges of autonomous vehicles have become increasingly prominent, and related accidents have weakened the public's confidence and trust in autonomous vehicles to a certain extent. In order to effectively respond to the safety challenges brought by autonomous driving algorithms, it is necessary to build a unified autonomous driving algorithm security framework to accelerate the transition of autonomous vehicles from the research and development testing stage to the commercial application stage. The main manifestations of the safety issues of autonomous driving algorithms: my country's current autonomous vehicle legislation mainly focuses on road testing, demonstration applications, and vehicle data security. It has not yet targeted the formation of autonomous driving systems with artificial intelligence algorithms as the core.
2023-04-29
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World's largest self-driving test begins next week, deploying 100 vehicles
Article Introduction:According to Teslarati reports on November 11, the world’s largest self-driving car test, conducted by Vanderbilt University and several other universities in collaboration with Nissan, Toyota, General Motors and the U.S. Tennessee Department of Transportation, will begin next week. conduct. Autonomous driving is one of the most important technologies in the automotive industry at present, but safety is also a problem that must be solved by this technology. So to test the impact of self-driving cars on real-world driving, a group of legacy automakers are taking part in the world's largest self-driving test on a stretch of highway near Nashville, Tennessee. Researchers will observe the impact of self-driving on traffic rhythm and try to determine whether self-driving cars can reduce human-caused traffic congestion. According to Vanderbilt
2023-04-12
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In 2025, Bentley's first electric car will lead the autonomous driving revolution
Article Introduction:June 26 news, according to the British car magazine "AutoCar", the British luxury car brand Bentley plans to release its first pure electric vehicle in 2025, which will be equipped with advanced autonomous driving technology. According to Bentley CEO Adrian Hallmark, the car will use Mobileye's SuperVision system, which consists of 11 cameras. This system will also be used on the upcoming Porsche Macan EV, and Bentley shares this technology with Porsche. Initially, the electric vehicle will be able to achieve partially driverless functions on highways. In the future, through OTA (over-the-air) software updates, the car is expected to achieve complete
2023-06-26
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Self-driving cars running over passers-by can't stop California's push for autonomous driving
Article Introduction:This week, the latest traffic accident in San Francisco involving a self-driving car has drawn attention. A pedestrian was hit by a regular car, thrown into the front of a Cruise self-driving taxi and run over. He was trapped under the car for several minutes until firefighters rescued him and sent him to the hospital in critical condition. This incident once again highlighted the seriousness of the commercial safety issues of unmanned vehicles and attracted widespread attention|After the accident was restored, the human driver escaped and the unmanned vehicle was involved in another turmoil. The time of occurrence was 9:30 pm on Monday in San Francisco. Amidst the busy flow of people at the busy intersection in the center, a Cruise self-driving taxi owned by General Motors and an ordinary car were parked side by side in front of the red light. When the traffic light turns green, both vehicles start moving forward simultaneously.
2023-10-11
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How to develop autonomous driving and Internet of Vehicles in PHP?
Article Introduction:As a popular web development language, PHP can help us build efficient and scalable autonomous driving and Internet of Vehicles applications. Autonomous driving technology is becoming more and more widely used, and the Internet of Vehicles has become a new trend in the automotive industry. Therefore, it is very important to understand how to use PHP for autonomous driving and Internet of Vehicles development. Autonomous driving technology Autonomous driving technology means that the car can drive autonomously without the driver's intervention. In autonomous driving technology, vehicles use a variety of sensors (such as radar, cameras, lidar, etc.)
2023-05-20
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Research on key technical difficulties of autonomous driving
Article Introduction:The Society of Automotive Engineers divides autonomous driving into six levels, L0-L5, based on the degree of vehicle intelligence: L0 is No Automation (NA), which is a traditional car where the driver performs all operating tasks, such as steering and braking. , acceleration, deceleration or parking, etc.; L1 is Driving Assistant (DA), which can provide the driver with driving warning or assistance, such as providing support for one operation of the steering wheel or acceleration and deceleration, and the rest is left to the driver. Operation; L2 is Partial Automation (PA), the vehicle provides driving for multiple operations in steering wheel and acceleration and deceleration, and the driver is responsible for other driving operations; L3 is conditional automation
2023-04-08
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How machine learning can power self-driving cars
Article Introduction:Self-driving cars equipped with machine learning algorithms can make better decisions, recognize and classify objects, and interpret situations. Humanity has come a long way in the day-to-day functioning of the world, and the integration of technology is only getting closer. Artificial intelligence and its subcategory, machine learning, have caused such huge ripples throughout this era of innovation that even self-driving cars are the future. Some multinational companies, such as Tesla and Google, have launched self-driving projects such as Waymo One to promote self-driving taxi services made possible by machine learning. Its role in this innovation is expanded below. How Machine Learning Is Changing the Game for Self-Driving Cars Self-driving cars, also known as self-driving cars or robot cars, are a
2023-04-12
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You can doubt the safety of autonomous driving, but big data tells you: it does drive better than you
Article Introduction:The automotive industry is going through a transition period from L2 intelligent assisted driving to L3 autonomous driving. The era of intelligent driving is coming. Although every smart driving accident will cause widespread discussion and concern about autonomous driving, the numbers do not lie. Autonomous driving has greatly reduced the incidence of traffic accidents. It is entering a critical maturity point in terms of technology, testing, laws and regulations. Major automotive countries represented by China, the United States, Europe, Japan, and South Korea are competing to seize the commanding heights of the industry and promote each other, forming an existing autonomous driving social governance model with national characteristics and mutual tolerance. The day is not far when humans will officially hand over control of vehicles to machines. "Autonomous vehicles can effectively avoid 80% of car accidents." December
2023-05-15
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1518
Apple plans to launch Level 4 self-driving cars by 2028, adjusts car project goals
Article Introduction:According to the latest reports, Apple has recently made major strategic adjustments to its car project to cope with challenges faced in actual research and development. According to Bloomberg, Apple initially planned to launch a fully autonomous car, but due to technical difficulties and market layout considerations, they have repositioned this plan. This adjustment shows that Apple is aware of the fierce competition in the field of self-driving cars and has decided to adopt a more pragmatic strategy to promote its car projects. On the new research and development path, Apple no longer pursues its original goal of comprehensive driverless driving, but instead turns its focus to developing an electric car with more basic functions. The report details that Apple’s current goal is to achieve Level 4 autonomous driving capabilities, which means that in certain environments such as highways,
2024-01-24
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966
An in-depth discussion on the current status and future trends of autonomous driving development tool chains
Article Introduction:Under the "intelligent" development trend of the automotive industry, various L2-level assisted driving functions have become important configurations to attract consumers. On the other hand, in the new era of "software-defined cars", autonomous driving has become an important factor affecting the future of car companies. important strategy for development. Against such a backdrop, car companies need to answer a question: Should they develop their own autonomous driving systems? Let’s first take stock of the layout of several car companies in the field of autonomous driving: An inventory of the autonomous driving layout of car companies can be seen that it has become a major trend for car companies to develop self-driving systems. Many car companies have also discovered that the core of autonomous driving is in Under the background of "software and hardware decoupling", the value of data can be fully utilized. Some car companies, because they attach great importance to the autonomous driving business and to facilitate the subsequent development of the business, have established independent subsidiaries to focus on
2023-04-25
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4254
An article discussing the safety technical features of self-driving cars
Article Introduction:"Safety first" is the core concept and value of autonomous driving. The overall system safety design of autonomous vehicles is a complex system engineering, involving the core algorithm strategy design of the vehicle autonomous driving system, hardware and software redundant safety design, remote cloud driving technology, full-process test verification technology, etc., and follows Requirements and design considerations for functional safety (ISO 26262) and expected functional safety (ISO/PAS 21448). Let’s review Baidu’s L4 autonomous driving safety system practices, which are divided into three-layer safety systems: main system safety, redundant safety system, and remote cloud driving system. Figure 1 Baidu L4 overall system safety design idea Autonomous driving main system safety Main system safety system is passed
2023-04-12
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Entering the field of self-driving trucks: Li Auto plans to be the VP or leader of intelligent driving business
Article Introduction:According to sources, Chinese electric car maker Li Auto plans to enter the field of self-driving trucks. This important move is expected to be led by Lang Xianpeng, vice president of intelligent driving business. According to people familiar with the matter, Li Auto has begun looking for self-driving trucks through multiple headhunting companies. Relevant talents, and some professionals in the autonomous driving industry have come to Li Auto for interviews. This key position is named "Truck Autonomous Driving Technical Director" and its main responsibilities include overall responsibility for the design, development, testing and experimental verification of the factory logistics truck autonomous driving system to deliver safe and efficient autonomous driving products. According to our understanding, the requirements for this position are very strict, including more than 10 years of work experience and more than 6 years of relevant R&D management and technical skills.
2023-09-08
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731
San Francisco self-driving car crash raises concerns: Cruise vehicle collides with fire truck
Article Introduction:A recent collision involving a Cruise self-driving car in San Francisco, USA, has once again raised concerns about the safety of self-driving technology. Although self-driving cars are gradually being integrated into real life as a development achievement of technology, their safety issues still attract much attention. It is understood that the accident occurred at 10 pm local time on August 17, when a Cruise self-driving car collided with a fire truck. A collision occurred at the intersection of Polk and Turk streets in San Francisco. Cruise said the vehicle entered the intersection when the light turned green but failed to yield to a fire truck with lights and siren on, causing the collision. The accident caused damage to the right side of the Cruise car and the passenger was injured and sent to the hospital. Currently, Cruis
2023-08-22
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1130
Huawei Connected Conference 2023: Pangu Automobile's large model leads the innovation trend in the field of autonomous driving
Article Introduction:Huawei's Full Connection Conference was held on September 21. Huawei Cloud CEO Zhang Pingan released eye-catching innovations at the conference. Among them, the large model of Pangu Automobile has been officially unveiled, which will bring huge changes to the field of autonomous driving. The emergence of the large model of Pangu Automobile marks a major breakthrough in autonomous driving technology. The core goal of this large model is to shorten the cycle for the autonomous driving system to learn new scenarios from more than two weeks to just two days. This technological innovation can build a digital twin space and generate complex scene samples to provide more diverse training data for the autonomous driving system, thus improving its stability and safety under various road conditions. According to the editor’s understanding, Pangu Large automobile models are widely used in the field of autonomous driving, and can also be used for automobile design, production, and marketing.
2023-09-22
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1249
Changan Automobile obtained 17 L3 autonomous driving test licenses
Article Introduction:According to news on December 23, Changan Automobile Company has recently made a significant technological breakthrough and successfully obtained 17 road test licenses for L3 level autonomous driving on November 17. This achievement marks that Changan Automobile has become the first company to obtain the most highway L3 level autonomous driving test licenses at a time, demonstrating its leading position in the field of autonomous driving technology. Source: Changan Automobile Official Account As of December 21, Changan Automobile has completed 34 days of intensive road testing, which involved 17 vehicles equipped with L3 autonomous driving systems. These tests were mainly conducted on the Inner Ring Expressway in Chongqing. This section is 74.1 kilometers in total and contains various complex road conditions, such as construction areas, long slopes, continuous curves, bridges,
2024-01-02
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1094
An article explaining the key technical difficulties of autonomous driving
Article Introduction:The Society of Automotive Engineers divides autonomous driving into six levels, L0-L5, based on the degree of vehicle intelligence: L0 is NoAutomation (NA), which is a traditional car where the driver performs all operating tasks, such as steering, braking, Acceleration, deceleration or parking, etc.; L1 is Driving Assistance (DA), which can provide the driver with driving warning or assistance, such as providing support for one operation of the steering wheel or acceleration and deceleration, and the rest is operated by the driver; L2 is Partial Automation (PA). The vehicle provides driving for multiple operations in steering wheel and acceleration and deceleration, and the driver is responsible for other driving operations; L3 is Conditional Automation (Co
2023-05-15
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852
Analysis of software upgrade technology management and regulatory strategies for autonomous vehicles
Article Introduction:With the development of connected, intelligent and architectural technologies for smart vehicles, there is an irreversible need for software iterative upgrades in both firmware and software. It is required that during the life cycle of the car, software upgrades, firmware upgrades, after-sales services and other service capabilities will be continuously provided for the entire vehicle based on the car's OTA capabilities. It can be said that the intelligent replacement of cars has become an indispensable mainstream trend for OTA upgrade capabilities. This article will provide a detailed description of the current needs and regulatory requirements for software upgrades of autonomous vehicles. It is intended to help readers gain an overall understanding of the principles, access requirements and response strategies of the software upgrade process in autonomous driving. 1 Advantages of vehicle software upgrade technology First of all, software-defined cars promote the development and application of vehicle software upgrade technology.
2023-05-16
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1140