With the permits, Baidu itself will look to deploy 10 driverless Apollo Go vehicles in the Beijing Yizhuang Economic Development Zone. The area is an active center of autonomous driving in China, with city officials exploring pathways to operate AVs between the Zone and the city’s nearby airport. Establishing this route would in turn enable new commercial autonomous driving logistics operations for the wider Beijing-Tianjin-Hebei region.

The announcement was made at Apollo Day, Baidu’s autonomous driving technology event, where it unveiled new products and revealed updates for its existing product line-up. The event’s new products included an AI big model for autonomous driving perception, new HD maps, a closed-loop autonomous driving data system, and the completion of end-to-end adaptation of AI chips for autonomous vehicles.

Baidu’s AI big model for autonomous driving provides a pre-trained visual-language model that is expected to require minimal human supervision. With support from Baidu’s WenXin Big Model – which can already recognize many objects – it helps enlarge the scope of semantic recognition. The model will ultimately enable Baidu’s AVs to quickly recognize unseen objects, such as emergency service vehicles and plastic bags, among others. The company’s autonomous driving perception model, a sub-model of the WenXin Big Model, utilizes more than a billion parameters to improve the generalization potential of autonomous driving perception.

The company’s new HD maps for autonomous driving offer a 96% automation rate for map production, helping increase efficiency while reducing costs. Its ability to offer real-time map updates through integrating vehicle-side perception data and multi-source maps helps reaffirm safety. This, in addition to the data already accumulated on Baidu Maps, alongside millions of human-drive hours, works to enhance the reliability of Baidu’s autonomous driving functions.

Apollo Loop, Baidu’s closed-loop data system, will help it identify and utilize data essential to autonomous driving. To purify the data, it leverages on-board small AI models and the cloud-based big model to achieve high-efficiency data mining and automated labeling. The system’s data ingestion architecture achieves automated training with its group-optimization ability, and data distribution understanding, to utilize data effectively and further enhance the overall intelligence of its autonomous driving functions.

In mapping its future with these products, an autonomous expert from Baidu detailed how the company envisions a beneficial relationship between them. Here, L4 autonomy will continue to provide advanced technology migration for L2+ smart driving products in urban use cases, while L2 data feedback will in turn improve L4’s generalization abilities.

In differentiating the user experience of the Apollo RT6 against previous generations, Baidu equipped it with a number of user-centric features. Inside the vehicle, for example, is a detachable steering wheel that provides additional space through which extra seating, vending machines, desktops, or gaming consoles can be installed.

The core experience of the Apollo RT6 is rooted in its autonomous driving capabilities. Here, an advanced L4 system is powered by a pair of CPUs that allow it to process up to 1200 trillion operations per second. This power is used to process data sent from the vehicle’s suite of 38 sensors, including 8 LiDARs and 12 cameras, which work to obtain accurate, long-range detection around the vehicle.

While these sensors allow the RT6 to drive autonomously, a supervisor will be present at all times inside the vehicle in the event that its operations need to be handed back to a human driver. When testing the RT6, Baidu collected large datasets – amounting to a total test mileage of more than 20 million miles (32 million kilometers) – to ensure it operated safely and reliably at launch.

Upon its rollout, the Apollo RT6 will be the first vehicle built on Xinghe, Baidu’s dedicated E/E architecture for fully autonomous driving. This rollout will commence in 2023, when the AV begins its robotaxi operations in China on Apollo Go – the company’s autonomous ride-hailing service. From then, it expects its fleet of RT6 vehicles to grow from 10,000 units to 100,000 units in the next few years. This growing fleet will then work to support Apollo Go’s goal to expand its service operations to 100 cities before 2030.

The fully driverless Apollo Go Robotaxi service will first be launched in Beijing’s Shougang Park – one of the venues for the 2022 Beijing Winter Olympics – and will soon be transporting visitors at the games.

With the ride-hailing service being launched during the bustling Labor Day holiday period, Baidu will be the first Chinese company offering a fully driverless robotaxi service under commercial operation. By using the Apollo Go App, users can locate a robotaxi in the vicinity and hail a driverless ride by themselves through a system of unmanned self-service processes. Features including virtual reality navigation and remote car honking can help users to identify the location of the car. To unlock the autonomous vehicles, users are required to scan a QR code and health code on the car for identity verification and pandemic prevention purposes.

Upon boarding the vehicle and clicking on the “Start the Journey” button, the system will ensure that seat belts are fastened and the doors are shut, the trip only beginning after all the passenger safety protocol checks are completed. With no safety driver at the helm, the 5G Remote Driving Service is present at all times to allow human operators to remotely access the vehicles in the case of exceptional emergencies.

Since October last year, Baidu has started autonomous driving tests for the public under trial operations in areas such as Yizhuang, Haidian and Shunyi in Beijing. Baidu Apollo is moving forward to a new stage of scalable commercialized operations with the launch of the fully driverless robotaxi services in the capital, as a starting point of commercialized operations in first-tier Chinese cities. Baidu Apollo recently announced the completion of over 10 million kilometers of road testing for autonomous driving.

Earlier this week, Guidehouse, a leading global consulting firm, named Baidu as one of the top autonomous driving vendors in the world, with Baidu the only Chinese company listed on the Guidehouse leaderboard. Being recognized by Guidehouse as a leading company for a second consecutive year, Baidu has been investing in autonomous driving for eight years, and has an established a car fleet of 500 vehicles for autonomous driving trials. Baidu has been granted 2,900 patents for intelligent driving and 221 test drive licenses, among which 179 are to test self-driving cars for carrying passengers.

With these qualifications, Baidu Apollo will be able to roll out commercialized demonstrations of its smart transportation services in Cangzhou, and explore various mechanisms for charging customers, such as discounts, trial tickets, and voluntary payments from riders, for the first time by any autonomous driving company in China. In August 2020, Baidu opened the Apollo Go Robotaxi service in the downtown areas of Cangzhou, which has allowed people to hail a free robotaxi ride through their smartphone. In addition to bringing added convenience and safety to the people of Cangzhou, Baidu’s robotaxis are intelligent electric vehicles that contribute to environmental protection by reducing carbon emissions.

The qualifications will also enable Baidu to test driverless vehicles in Cangzhou, the first company to receive this permission in the city. Baidu Apollo previously received this permission in Changsha and Beijing in September and December of 2020, respectively. Baidu is the first and only company approved to conduct open road driverless testing in the Chinese capital. Internationally, Baidu Apollo obtained permission in California to conduct driverless testing.

To obtain the Cangzhou qualifications, companies were required to complete a total of 50,000 kilometers of local testing on open roads, accompanied by safety drivers, while being responsible for zero accidents. As of March 1, 2021, Baidu’s Cangzhou fleet accumulated 524,696 kilometers of total test mileage with each car averaging 17,490 kilometers, a testament to the safety and reliability of Apollo-powered autonomous vehicles.

In recent years, Cangzhou has been a leading city for the development of autonomous driving. It was the first city in northern China to carry out manned tests of autonomous driving and has the third largest intelligent-connected test road network in the country. With the latest news, Baidu Apollo and its ecosystem partners will continue to explore the development path of fully autonomous driving.

Baidu has partnered with the Guangzhou Huangpu District government to roll out the world’s first multi-modal autonomous driving MaaS platform. By integrating an assortment of autonomous driving services to provide travel recommendations, this diverse platform can holistically optimize the travelling experience of users in line with combined platform strategies. Comprising of over 40 autonomous vehicles, the collective fleet has deployed five different model types – Robotaxi, Robobus, Apolong, Apollocop and New Species Vehicle – to begin comprehensively serving the city during the bustling holiday period. Citizens are able to make reservations on the Baidu Maps and Apollo Go mobile applications to witness these new exciting autonomous driving initiatives and experience the convenience brought on by intelligent transportation technology. With the ability to cover a variety of usage scenarios, the MaaS platform ecosystem can meet the diverse needs of many citizens during their holiday sightseeing, shopping and celebratory outings.

To facilitate this, Baidu Apollo has established over 50 Robotaxi pickup stations in the district, providing users with easy access to Chinese New Year festival sites using autonomous vehicles. Simultaneously, a batch of New Species Vehicles are cruising around the city, tasked with unmanned retail, as well as routine cleaning and disinfection. Apolong minibuses will shuttle eager sightseers to the flower blossoms around scenic parks and lakes. Meanwhile, Apollocop patrols the main roads near key areas and the Baidu Robobus will ferry passengers along fixed routes, facilitating community travels towards festive destinations.

Baidu was the leading company across all four categories—number of vehicles for general technology testing, number of vehicles piloting autonomous vehicle passenger service, number of vehicles carrying out fully driverless testing, and total mileage of testing—in the 2020 edition of the Beijing Autonomous Vehicles Road Test Report, which is the only authoritative industry assessment of its kind published in China.

Baidu has achieved a cumulative mileage of 2,019,230 kilometers over a three-year period in Beijing, accounting for 91.23% of Beijing’s total testing mileage in three years. In 2020, Baidu operated a fleet of 55 autonomous vehicles on the roads of Beijing, accounting for 75% of the overall number of vehicles that conducted automated driving tests in the city. Baidu also accumulated 1,125,305 kilometers of total testing distance, comprising 95.92% of the total autonomous vehicle testing distance in the municipality. This impressive record mileage represents a 49.24% increase in comparison to previous efforts in 2019. To put Baidu’s achievements in perspective, a total number of 87 vehicles from 14 companies had received general road testing permits in Beijing as of December 31, 2020, according to the report.

In late 2020, Baidu was awarded with five autonomous vehicle driverless testing permits from the Beijing Municipal Commission of Transport, marking the inaugural batch of permits issued to a company that allow driverless vehicles on public roads. In preparation for this achievement, Baidu has collaborated with the Beijing Innovation Center for Mobility Intelligent to optimize test parameters and technological specifications by running 64,827 kilometers of driverless vehicle testing in Beijing.

As part of its push to commercialize autonomous driving technologies, Baidu Apollo launched the Apollo Go Robotaxi service in Beijing, as part of the third phase of its autonomous vehicle passenger service pilot. From October 10 to December 31, a total of 15,006 users hailed an Apollo Go Robotaxi through their mobile devices. The Apollo Go experience was well received, with over 90% of riders stating that they would like to continue using this service in the future.

With a total of 200 autonomous vehicle testing roads across four districts comprising of a distance of 699.58 kilometers, Beijing has become the leading city for promoting domestic autonomous driving initiatives in China, with Baidu spearheading its growth. Adhering to stringent principles of safety and fostering an aura of innovation, Beijing was one of the earliest cities in China to regulate autonomous driving technology and establish comprehensive industry standards.

While Baidu has had state authority to test autonomous vehicles with safety drivers since 2016, the new permit allows the company to test three autonomous vehicles without a driver behind the wheel on specified streets within Sunnyvale, located in Santa Clara County.

The vehicles are designed to operate on roads with posted speed limits not exceeding 45 miles per hour. Tests may be conducted during all times of the day and night, but will not occur during heavy fog or heavy rain.

Baidu is the sixth company to receive a driverless testing permit in the state. Currently, 58 companies have an active permit to test autonomous vehicles with a safety driver.

In order to receive a driverless testing permit, manufacturers must certify they meet a number of safety, insurance and vehicle registration requirements, including:

• Providing evidence of insurance or a bond equal to $5 million.
• Verifying vehicles are capable of operating without a driver, meet federal Motor Vehicle Safety Standards or have an exemption from the National Highway Traffic Safety Administration, and is a SAE Level 4 or 5 vehicle.
• Confirming vehicles have been tested under controlled conditions that simulate the planned area of operation.
• Notifying local governments of planned testing in the area.
• Developing a Law Enforcement Interaction Plan that provides information to law enforcement and other first responders on how to interact with test vehicles.
• Continuously monitoring the status of test vehicles.
• Training remote operators on the technology being tested.

Driverless testing permit holders must also report to the DMV any collisions involving a driverless test vehicle within 10 days and submit an annual report of disengagements.

Under state law established in 2012, the DMV is required to adopt regulations covering both the testing and public use of autonomous vehicles on California roadways. Regulations to allow testing with a safety driver behind the wheel took effect on 16 September 2014. Rules to allow testing without a driver and deployment of autonomous vehicles were subsequently adopted and took effect on 2 April 2018. Regulations allowing for light-duty autonomous delivery vehicles weighing less than 10,001 pounds were approved on 16 December 2019.

In the lead-up to the kickoff, a team of Ford engineers at the company’s Nanjing Research and Engineering Center (REC) was set up to convert the vehicles into Autonomous Vehicle Platforms (AVPs) in order to prepare them to be fit with Baidu’s Apollo Virtual Driver System (VDS). All vehicles have been equipped with the Virtual Driver System (VDS) and related hardware and are ready for testing. The AV tests will be conducted on open roads in Beijing that are specially designated for AV testing, with the option of exploring further opportunities in other Chinese cities in the future in accordance with local regulations.

The new IVICS, supported by major technologies such as processing sensor fusion information for vehicle perception, roadside perception, data compression, communication optimization and vehicle-to-everything (V2X) terminal software and hardware and V2X safety, will create a synergistic interaction of smart cars and intelligent roadways. The Apollo IVICS open-source solution marks a milestone in the development of Baidu’s open autonomous driving platform, as it signifies Apollo’s integral opening-up of both vehicles and road infrastructure.

Apollo has been in use in different scenarios in areas such as Beijing and Silicon Valley, enabling autonomous driving features in passenger vehicles, minibuses and logistic vehicles, which lays a solid foundation for Baidu’s IVICS and future intelligent transportation. Building on Apollo’s open ecosystem, Baidu announced that it will collaborate with partners including China Unicom, Datang Telecom and China Transinfo on the initiative. Through integrating resources from various sectors of telecommunications, chips, automobile manufacturing, transportation infrastructure construction, government and universities, Apollo will facilitate the development of IVICS.

A trial run of the system will be conducted in China’s pilot AI city – Xiong’an new area. In addition, Baidu will partner with the College of Transportation Engineering at Tongji University to establish a joint laboratory and collaborate in the planning and design of autonomous driving networks and simulation of traffic systems.

The challenge for the autonomous vehicle industry is to process the massive streams generated by these dozens of standalone sensors, analyze the data in real time, and intelligently unify the information so that the vehicle accurately perceives and understands its complete 360-degree environment. Kalray’s manycore MPPA intelligent processor architecture has been designed from the ground up to meet this challenge, executing complex neural network applications at many trillions of processes per second to achieve the Acceleration of Perception for self-driving vehicles.

Analog Devices has signed a MoU with Baidu to jointly advance autonomous driving. The collaboration is expected to enhance autonomous driving solutions for Project Apollo, Baidu’s autonomous driving system platform, including sensor fusion, algorithms and ecosystem partners.

ADI and Baidu will share resources and technologies to further develop the sensing and navigation application for Project Apollo including RADAR, LIDAR, Inertial Measurement Units (IMU), A²B/C²B bus, and digital signal processing (DSP) products.

The quality of ADI’s sensor data allows the AI to be better informed about the world around it and make the decisions well in advance of potential obstacles, helping to reduce the chances of autonomous vehicle accidents. In addition, ADI’s Drive360 navigation and perception solution – comprising RADAR, LIDAR and IMUs – functions as a safety shield around the vehicle, as these three sensing modalities are fused together, giving the vehicle its sense of sight and feeling.

Source: Analog Devices

Baidu, Inc. and the BMW Group have signed a Memorandum of Understanding (MoU), under which the BMW Group will join Apollo, the open autonomous driving platform by Baidu, as a board member.

The partnership was made official during Chinese Premier Li Keqiang’s visit to Germany on July 10th to meet with German Chancellor Angela Merkel. The MoU marks the beginning of a new partnership on autonomous driving between the BMW Group and Baidu. The two companies seek to work together to bring safe, convenient and intelligent mobility experiences for consumers in China.

The BMW Group is developing an autonomous driving platform with technology solutions for Level 3 to Level 4/5 (highly to fully automated driving), as well as for advanced driving assistance systems (Level 2). This scalable autonomous driving solution is being developed with technology and OEM partners that contribute knowledge, resources and intellectual property assets for a state-of-the-art concept.

Apollo is an open platform that provides a comprehensive, secure and reliable solution that supports all major features and functions of an autonomous vehicle. Since its launch in July, 2017, Apollo has brought together 118 global partners across both automotive and technology industries. Apollo’s success is built on its commitment to enabling developers and partners to accelerate the pace of innovation by opening capabilities and sharing resources.

Source: BMW

Baidu, Inc, SB Drive, a subsidiary of Softbank dedicated to self-driving technology research, have announced a strategic partnership to jointly develop and deploy a version of the Apolong self-driving mini bus for the Japanese market. Under the agreement, ten Apolong mini buses will be exported to Japan from China in early 2019. This agreement marks the first time autonomous vehicles will be exported from China.

Apolong is a fully autonomous mini bus co-developed by Baidu and King Long. The mini bus is powered by the Apollo open source autonomous driving technologies created by Baidu and is China’s first fully self-driving electric bus to enter the volume production phase. At Baidu Create, Baidu’s annual AI developer conference held on July 4 in Beijing, more than 6,000 attendees witnessed a live stream of the 100^thApolong bus leaving the assembly line.

Baidu’s Global Business Unit works with local partners to deploy Baidu’s AI technologies and products overseas, especially key projects like the Apollo open autonomous driving technology and the DuerOS conversational AI platform.

The Apollo open autonomous driving platform was launched last year and is one of the world’s largest and most diverse autonomous driving ecosystems. Since its launch, the platform has garnered 116 global partners from automotive and technology industries, including Ford, Bosch, Velodyne, Intel, NVIDIA and Microsoft.

As a member of Apollo, King Long began working with Baidu in October 2017 to develop the Apolong buses. The first fleet will be deployed in geo-fenced places like parks, industrial campuses and airports in five Chinese cities. In the same year, SB Drive, a subsidiary under SoftBank dedicated to autonomous vehicles research and development, conducted autonomous bus testing in Okinawa as part of the “Autonomous Driving System” program designated by the Cabinet Office of Japan. This made them an ideal partner for this project.

Aside from the latest success with the buses, Baidu’s Global Business Unit has successfully commercialized various AI products overseas. In Japan, Baidu’s AI powered voice keyboard, Simeji, has become Japan’s largest Japanese Kaomoji and Emoji content provider. The high-quality native ad recommendation platform, PopIn, has also covered most mainstream media in Japan, South Korea, Singapore and other countries.

In the future, Baidu Global Business Unit will continue to promote open collaborations and partnerships on technology, product, talent and capital to accelerate the deployment of AI.

Source: SoftBank

Valeo will benefit from the full range of software, hardware and data tools (operating systems, high-precision positioning and HD mapping services, simulation engines, cloud, algorithms, etc.) provided by Apollo to its ecosystem partners through its open, reliable and secure platform. Launched in April 2017, Apollo accelerates the development, testing and deployment of autonomous vehicles through a collaborative approach.

Source: Valeo

RSS is an open and transparent formal model that provides safety assurance of AV decision-making. It formalizes human notions of safe driving into a verifiable model with logically provable rules, defines appropriate responses, and ensures that only safe decisions are made by the automated vehicle and that the automated vehicle will do everything it can to avoid being involved in unsafe situations initiated by others.

Mobileye’s RSS formulas will be integrated into the existing safety model (known as “DPS”) of Baidu’s Apollo Pilot. This deployment version of Project Apollo is being developed for multiple Chinese OEMs.

Source: Intel

Baidu has unveiled Apollo 2.5, the latest iteration of the open autonomous driving platform, which now supports autonomous driving on geo-fenced highways. At a launch event to celebrate Apollo’s one-year anniversary in Beijing, Baidu also announced the Apollo Automotive Cybersecurity Lab to further the advancement of safety in mobility as a long-term vision towards the development of an autonomous driving ecosystem.

Baidu has teamed up with China Automotive Technology and Research Center and China Academy of Information and Communications Technology to launch its automotive cybersecurity lab. The 1,000m² lab, located in Beijing’s Haidian district, will bring together talent from Baidu’s Intelligent Driving Group with industry and academic experts from universities, such as Tsinghua University and Beijing Institute of Technology, to focus on in-depth research as the foundation for the sustainable development of intelligent driving.

The lab will conduct research into automotive cybersecurity technologies, trends and solutions for in-vehicle systems, car-to-car communications, the controller area network (CAN bus), and sensors. It will explore best security practices in data protection, in-vehicle infotainment, reference software and hardware designs, and countermeasures to fake signals that misguide autonomous driving systems.

Leveraging its capabilities in autonomous driving and cybersecurity, Baidu will begin to work with Apollo partners, including Chery, BAIC’s Beijing Electric Vehicle Co. and China FAW Group, to establish various joint labs in China. In the future, Baidu will launch research projects with universities, research institutes and cybersecurity teams, and will share their technology developments with partners in the Apollo ecosystem.

On Apollo’s one-year anniversary, Baidu announced the latest iteration of the autonomous driving platform – Apollo 2.5 – which will further expand its capabilities into a wider range of applications and scenarios. It implemented a geo-fenced, high-speed autonomous driving scenario, and reduced 90% of the sensor cost to better facilitate autonomous driving development. The latest iteration also includes vision-based perception, real-time relative mapping and high-speed planning and control.

Apollo 2.5 offers more efficient development tools, including a visual debugging tool, a data collector for HD maps and a simulator for cloud-based autonomous driving, to further enhance developer efficacy. In addition, Apollo’s recently-launched data and technology project, ApolloScape, will release new large-scale autonomous driving datasets and next-generation simulation technologies in China.

Apollo has now amassed more than 200,000 lines of code, which have been downloaded and used by over 2,000 developers and partners. Over 9,000 developers on Github, the world’s largest open source community, have recommended Apollo open source software. After its most recent partnership with BYD, China’s leading electric vehicle manufacturer, Apollo has now brought together 100 partners with the open platform. Furthering its ability to advance the development of autonomous driving, this year, Baidu has been granted permits to perform autonomous vehicle road testing in China’s Beijing, Fujian and Chongqing.

Source: Baidu

Baidu, Inc. has received Beijing’s first batch of licenses to conduct open road tests for its autonomous driving vehicles in designated areas of the city.

At the launch ceremony on March 22, five cars powered by Apollo, the open autonomous driving platform by Baidu, were taken for a public road test with their new permits in Yizhuang, part of the Daxing district in the southeast suburbs of Beijing. Baidu is the only company to receive such permits to date.

According to the Beijing Municipal Commission of Transport, all vehicles that apply for the license must undergo over 5,000 kilometers of closed course training in addition to capability evaluations, which include the ability to follow traffic rules and handle emergencies. Safety drivers are required to undergo no less than 50 hours of training in order to engage and take control of the vehicle in case of an emergency. The vehicles also must pass evaluations by a group of transportation, automobile, computer science and legal experts before they are approved to run on open roads.

There are currently 33 roads, spanning approximately 105 kilometers open for testing. These are primarily located in less-populated areas outside Beijing’s Fifth Ring Road, in Shunyi, Haidian and Yizhuang. Beijing’s traffic authorities have launched an enclosed testing site in Haidian for autonomous vehicles.

Before taking Apollo-powered autonomous vehicles to conduct open road tests, the vehicles will go through simulation tests, before also being tested on closed and then open courses. This is to ensure the vehicles’ safety and stability to the greatest extent possible.

Launched in July 2017, the Apollo platform leverages advanced technology and data resources to create a sustainable ecosystem for the autonomous driving industry. It has so far garnered over 90 partners, including OEMs, Tier-1 suppliers, research groups and local governments. Baidu recently signed a strategic cooperation with Xiongan, a new economic zone in China’s Hebei Province, to help develop the area into a smart city powered by intelligent transport, applications of conversational AI and cloud computing infrastructure.

Source: Baidu

Chery, which makes cars, minivans and SUVs, will be the first Chinese carmaker to adopt the new ZF ProAI system, developed by NVIDIA, Baidu and ZF to bring Level 3 autonomous driving to the world’s biggest auto market.

Powering the ZF ProAI is the NVIDIA DRIVE Xavier AI car computer. Xavier is the world’s most complex and advanced SoC, capable of performing 30 deep learning TOPS (trillions of operations per second), using only 30 watts of power.

ZF brings expertise for system integration of the car computer and sensors. ZF ProAI will process inputs from multiple cameras, plus lidar and radar, paint a 360-degree view around the vehicle, locate it on an HD map, and find a safe path through traffic.

In addition, Chery showcased a self-driving car (last week at CES) jointly built by Chery and Baidu since the two sides forged a partnership. It is compatible with Apollo Pilot system and carries mass-produced automatic driving solutions.

As a core member of Baidu’s Apollo plan, Chery can rapidly acquire Baidu’s AI technology; and Chery’s mature vehicle technologies, precise development process, integral industry chain and perfect sales service system have made Chery and Baidu the strongest technology alliance in China.

As a core member of Baidu’s Apollo plan, Chery can rapidly acquire Baidu’s AI technology; and Chery’s mature vehicle technologies, precise development process, integral industry chain and perfect sales service system have made Chery and Baidu the strongest technology alliance in China.

Chery models feature intelligent vehicle technologies including lane detection, millimeter-wave radar data processing, vehicle detection, local path planning and vehicle bottom control, as well as intelligent vehicle technologies including laser radar data processing, RTK data processing and map data processing.

Also, Chery has achieved staged breakthroughs in more than 10 key cutting-edge technologies including AI interactive navigation, next-generation cabin system, eyeball tracking and face recognition, UBI insurance and digital marketing, and V2X (core technology of over-the-horizon detection system). While conducting independent R&D, Chery has carried out more remarkable and fruitful strategic cooperation with Baidu in the intelligent vehicle field.

During CES 2018, a mysterious fleet of self-driving cars took California Highway and was open for examination. In the automatic driving field, California Self-driving Test Base should not be strange to you. Only 45 companies in the world have been qualified for road rests here since 2014, including 14 companies with Chinese investment or background (accounting for 31 percent), less than 19 U.S. companies only. As a Chinese AI and automatic driving force, Chery is registering an automatic driving development company (Leonis Technologies North America) in the Silicon Valley to be engaged in big data research, self driving technology R&D and road tests in California. After successful registration, Chery will apply for the qualification for road tests in California, “China’s AI and automatic driving are attracting growing attention from the Silicon Valley and the world”.

Intelligent connection has always been a major strategic focus of Chery. Through CES 2018, Chery has showed the world the results of its innovative cooperation with Baidu, as well as its forward-looking automatic driving technologies. Chery will participate in CES 2019 to present more advanced automatic driving technologies. We will work hard to achieve the ultimate goal of automatic driving to lay the groundwork for creating a safer, more efficient and economical new travel lifestyle for the human society.

Source: Chery, NVIDIA