The World’s First Mass-Produced Automotive Vehicle Coming out
How Data Labeling Services Empower Auto-Driving Industry2021?
BAIC ARCFOX Alpha HI SHOWTIME
On April 15, the BAIC ARCFOX Alpha HI, equipped with Huawei’s automatic driving technology, conducted a public test ride in Shanghai, which is also the first public test ride of Huawei’s automatic driving technology in the world. Xu Zhijun, Huawei’s rotating chairman, said, “the R & D team told me that Huawei’s automatic driving could achieve 1000 kilometers without intervention in the urban area.
In addition, at the 2021 Shanghai auto show, the “Huawei inside” cooperation model provides the passengers with an autonomous driving experience in urban areas with dense vehicle flow.
According to the official introduction, the HI model is the world’s first mass-produced model equipped with three laser radars. It has Huawei’s highest level of automatic driving technology and covers all scenic spots in urban areas, high-speed roads, and parking lots.
The Prospect of Driverless Technology
SAE International divides automatic driving technology into five levels, from L0 to L5
L0: No Automation
There is no automatic driving. Needless to say, the driver can’t be distracted at all.
L1: Driving Aid
The vehicle is still controlled by the driver and has some primary driving Aids. In fact, this is very common now. For example, constant speed cruise and automatic parking. However, they can only play an assisted role, the main driving force is still the driver.
L2: Partial Automation
The vehicle has many automatic driving functions, but the driver still needs to take the lead in driving. The L2 level is currently an automatic driving system equipped by most new cars in the market. For example, new energy cars. The car officially claims to have the most complete Adigo automatic driving services(ADAS), with functions such as high-speed automatic driving assistance, congestion automatic driving assistance, automatic parking, and automatic emergency braking.
L3: Conditional Automation
On this level, the driver can “release” himself, but he still needs to keep his nerves tight and observe all the time. The driver has to be ready to take over the driving in case of an emergency. Therefore, L3 is also called conditional automation. However, the importance of the driver is decreasing.
L4: Highly Automated
On this level, the vehicle almost replaces the driver. Playing the role of a teacher, the driver can either have a rest or take over the vehicle alternatively.
L5: Fully Automated
L5 level is more ideal, which means that the vehicle has completely replaced the driver, and there is no need to worry about any weather or geographical factors. In the future, the car will be transformed from a car to a cabin. Under any condition, an intelligent computer can control the car. Of course, the driver can also choose to operate.
Autonomous Driving Takeover Report
In California, more than 60 unmanned car companies around the world have been approved for road testing.
In the “autonomous driving takeover report” released by the California Vehicle Administration (DMV) in 2019, it is stated that Baidu has surpassed Waymo in the ranking list.
Here comes the question: how to measure their strength?
We need to introduce a concept: the number of times to take over the car
In the process of automatic driving, if there are problems that cannot be solved by automatic driving, human safety officers will take over the control, and the number of times that human beings take over the control represents this indicator.
Baidu’s team in the United States ranks first, driving an average of nearly 30,000 kilometers before it needs to be taken over by human beings. Waymo, Google’s driverless car company, ranks second, driving an average of 21,300 kilometers before a takeover. Cruise, GM’s driverless car company, ranks third.
With the development of electric vehicles, the improvement of sensor and chips technology, the breakthrough of machine learning algorithms, the popularization of cloud computing, many technologies and traditional automobile companies around the world have begun to take steps, looking forward to standing out.
At present, the major unmanned vehicle companies are speeding up technology research and development, trying to achieve mass production.
More read: The First Half and Second Half of Competition in Self-Driving Industry 2021
Behind the Self-Driving: Data Annotation Service
The more accurate annotation is, the better algorithm performance will be. Any tiny error during a driving experience may lead to dreadful results. Nowadays, people are more and more concerned about the driving safety issue as several self-driving automobile accidents happened.
Previously, media reported that a user had a car accident while riding in a smart driving vehicle. After the investigation, it was discovered that the smart driving system failed to distinguish the difference between the white vehicle and the cloud and did not identify obstacles. The vehicle failed to brake in time, which in turn triggered tragic consequences.
In this case, the lack of accurate data on the distinction between white vehicles and the cloud is the direct factor leading to the tragedy.
Therefore, the measures to provide high-quality AI data for different scenarios and different needs have gradually become the consensus of artificial intelligence solutions.
Common Data Labeling Tools Include:
- 2D Bounding Boxes
- Lane Marking
- Semantic Segmentation
- Video tracking annotation
- Point Annotation
- 3D Object Recognition
- 3D Segmentation
- Sensor Fusion: Sensor Fusion Cuboids/Sensor Fusion Segmentation/Sensor Fusion Cuboids Tracking
End
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source:
http://ai.infosws.cn/20200819/39048.html https://www.sohu.com/a/461439645_114988
Relevant Articles:
1 How Auto-Driving Achieved through Machine Learning?
2 Labeling Service Case Study — Video Annotation — License Plate Recognition
3 High-Quality Training Data for Autonomous Cars in 2021
4 What is Semantic Segmentation, Instance Segmentation, Panoramic segmentation?
5 How Data Labeling and Annotation Services Empower Self-Driving Bus?
6 How Data Labeling Service Empower Auto-Driving Industry2021?
