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Automotive AI Foundation Model Technology and Application Trends Report 2024: AI Foundation Models Evolve Rapidly, Bringing New Opportunities

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DUBLIN, March 6, 2024 /PRNewswire/ — The “Automotive AI Foundation Model Technology and Application Trends Report, 2023-2024” report has been added to ResearchAndMarkets.com’s offering.

Since 2023 ever more vehicle models have begun to be connected with foundation models, and an increasing number of Tier1s have launched automotive foundation model solutions. Especially Tesla’s big progress of FSD V12 and the launch of SORA have accelerated implementation of AI foundation models in cockpits and intelligent driving.

In February 2023, Tesla FSD v12.2.1, which adopts an end-to-end autonomous driving model, began to be pushed in the United States, not just to employees and testers. According to the feedback from the first customers, FSD V12 is quite powerful, allowing ordinary people who previously did not believe in and use autonomous driving to dare to use FSD. For example, Tesla FSD V12 can bypass puddles on roads. A Tesla engineer commented: this kind of driving approach is difficult to implement with explicit code, but Tesla’s end-to-end approach makes it almost effortlessly.

The development of AI foundation models for autonomous driving can be divided into four phases. 

Phase 1 uses a foundation model (Transformer) at the perception level.Phase 2 is modularization, with foundation models used in perception, planning & control and decision.Phase 3 is end-to-end foundation models (one ‘end’ is raw data from sensors, and the other ‘end’ directly outputs driving actions).Phase 4 is about heading from vertical AI to artificial general intelligence (AGI’s world model).

Most companies are now in Phase 2, while Tesla FSD V12 is already in Phase 3. Other OEMs and Tier1s have followed up with the end-to-end foundation model FSD V12. On January 30, 2024, Xpeng Motor announced that its end-to-end model will be fully available to vehicles in the next step. It is known that NIO and Li Auto will also launch “end-to-end based” autonomous driving models in 2024.

FSD V12’s driving decisions are generated by an AI algorithm. It uses end-to-end neural networks trained with massive video data to replace more than 300,000 lines of C++ code. FSD V12 provides a new path that needs to be verified. If it is feasible, it will have a disruptive impact on the industry.

On February 16, OpenAI introduced text-to-video model SORA, signaling the wide adoption of AI video applications. SORA not only supports generation of up to 60-second videos from texts or images, but it well outperforms previous technologies in capabilities of video generation, complex scenario and character generation, and physical world simulation.

Through vision both SORA and FSD V12 enable AI to understand and even simulate the real physical world. Elon Mask believes that FSD 12 and Sora are just two of the fruits of AI’s ability to recognize and understand the world through vision, and FSD is ultimately used for driving behaviors, and Sora is used to generate videos.

The high popularity of SORA is further evidence of the rationality of FSD V12. Musk said ‘Tesla generative video from last year’.

AI foundation models evolve rapidly, bringing new opportunities.

In recent three years foundation models for autonomous driving have undergone several evolutions, and the autonomous driving systems of leading automakers must be rewritten almost every year, which also provides entry opportunities for late entrants.

At CVPR 2023, UniAD, an end-to-end autonomous driving algorithm jointly released by SenseTime, OpenDriveLab and Horizon Robotics, won the 2023 Best Paper.

In early 2024, Waytous’ technical team and the Institute of Automation Chinese Academy of Sciences jointly proposed GenAD, the industry’s first generative end-to-end autonomous driving model which combines generative AI and end-to-end autonomous driving technology. This technology is a disruption to UniAD progressive process end-to-end solution, and explores a new end-to-end autonomous driving mode. The key is to using generative AI to predict temporal evolution of the vehicle and surroundings in past scenarios.

In February 2024, Horizon Robotics and Huazhong University of Science and Technology proposed VADv2, an end-to-end driving model based on probabilistic planning. VADv2 takes multi-view image sequences as input in a streaming manner, transforms sensor data into environmental token embeddings, outputs the probabilistic distribution of action, and samples one action to control the vehicle. Using only camera sensors, VADv2 achieves state-of-the-art closed-loop performance in CARLA Town05 benchmark test, much better than all existing approaches. It runs stably in a fully end-to-end manner, even without rule-based wrapper.

On the Town05 Long benchmark, VADv2 achieved a Drive Score of 85.1, a Route Completion of 98.4, and an Infraction Score of 0.87, as shown in Tab. 1. Compared to the previous state-of-the-art method, VADv2 achieves a higher Route Completion while significantly improving Drive Score by 9.0. It is worth noting that VADv2 only utilizes cameras as perception input, while DriveMLM utilizes both cameras and LiDAR. Furthermore, compared to the previous best method which only relies on cameras, VADv2 demonstrates even greater advantages, with a remarkable increase in Drive Score of up to 16.8.

Also in February 2024, the Institute for Interdisciplinary Information Sciences at Tsinghua University and Li Auto introduced DriveVLM (its whole process shown in the figure below). A range of images are processed by a large visual language model (VLM) to perform specific chain of thought (CoT) reasoning to produce driving planning results. This large VLM includes a visual encoder and a large language model (LLM).

Due to limitations of VLMs in spatial reasoning and high computing requirements, DriveVLM team proposed DriveVLM-Dual, a hybrid system that combines advantages of DriveVLM and conventional autonomous driving pipelines. DriveVLM-Dual optionally combines DriveVLM with conventional 3D perception and planning modules, such as 3D object detector, occupancy network, and motion planner, allowing the system to achieve 3D localization and high-frequency planning. This dual-system design, similar to slow and fast thinking processes of human brain, can effectively adapt to changing complexity of driving scenarios.

Key Topics Covered:

1 Classification of Autonomous Driving (AD) Algorithms and Common Algorithm Models
1.1 AD System Classification and Software 2.0
1.2 Baidu AD Algorithm Development History
1.3 Tesla AD Algorithm Development History
1.4 Neural Network Model
1.5 Traditional AD AI Algorithms (Small Model)
1.6 Transformer and BEV (Foundation Model)
1.7 End-to-end Foundation Model Cases

2 Overview of AI Foundation Model and Intelligent Computing Center
2.1 AI Foundation Model
2.2 Application of AI Foundation Model in Automotive
2.3 Autonomous Driving (AD) Multimodal Basic Foundation Model
2.4 Intelligent Computing Center

3 Tesla Algorithm and Foundation Model Analysis
3.1 Algorithm Fusion of CNN and Transformer
3.2 Transformer Turns 2D into 3D
3.3 Occupancy Network, Semantic Segmentation and Time-space Sequence
3.4 LaneGCN and Search Tree
3.5 Data Closed Loop and Data Engine

4 AI Algorithms and Foundation Model Providers
4.1 Haomo.ai
4.2 QCraft
4.3 Baidu
4.4 Inspur
4.5 SenseTime
4.6 Huawei
4.7 Unisound
4.8 iFLYTEK
4.9 AISpeech
4.10 Megvii Technology
4.11 Volcengine
4.12 Tencent Cloud
4.13 Other Companies
4.13.1 Banma Zhixing
4.13.2 ThunderSoft
4.13.3 Horizon Robotics’ End-side Deployment of Foundation Model

5 Foundation Model of OEMs
5.1 Xpeng Motor
5.2 Li Auto
5.3 Geely
5.4 BYD
5.5 GM
5.6 Changan Automobile
5.7 Other Auto Enterprises
5.7.1 GWM: All-round Layout of AI Foundation Model
5.7.2 Chery: EXEED STERRA ES Equipped with Cognitive Foundation Model
5.7.3 GAC
5.7.4 SAIC-GM-Wuling
5.7.5 Mercedes-Benz
5.7.6 Volkswagen
5.7.7 Stellantis
5.7.8 PSA

6 Application Trends of Sora and AI Foundation Model in Automotive
6.1 Analysis of Sora Text-to-Video Foundation Model
6.2 Explanation of Sora’s Underlying Algorithm Architecture
6.3 Generative World Model and Intelligent Vehicle Industry
6.4 Application Trends of AI Foundation Model in Automotive
6.5 AI Foundation Model Requirements for Chips

Companies Profiled

Haomo.aiQCraftBaiduInspurSenseTimeHuaweiUnisoundiFLYTEKAISpeechMegvii TechnologyVolcengineTencent CloudBanma ZhixingThunderSoftHorizon RoboticsXpeng MotorLi AutoGeelyBYDGMDeepal GPTGWMCheryGACSAIC-GM-WulingMercedes-BenzVolkswagenStellantisPSA

For more information about this report visit https://www.researchandmarkets.com/r/o1dfga

About ResearchAndMarkets.com
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Laifen Expands U.S. Retail Footprint with Costco Launch of Best-Selling SE Hair Dryer

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Starting July 18, Costco Members Can Shop Laifen’s Award-Winning Hair Dryer in Select Warehouse Locations Across the U.S.

NEW YORK, July 18, 2026 /PRNewswire/ — Laifen, ranked the world’s No.1 high-speed hair dryer brand, today announced the launch of its best-selling SE High-Speed Hair Dryer at select Costco warehouse locations, marking the brand’s largest U.S. retail expansion to date and bringing its award-winning haircare technology to Costco members across select U.S. markets.

The launch brings Laifen’s award-winning haircare technology to Costco, making it easier for consumers to experience the brand through one of the nation’s leading membership retailers. Laifen joins Costco’s growing portfolio of premium beauty and personal care brands. The initial rollout includes select Costco warehouse locations across the United States, with a strong presence across the Western U.S., including California, the Pacific Northwest and the Southwest.

Costco’s reputation for quality and its highly selective merchandising approach make this partnership especially meaningful. The Costco launch reflects Laifen’s continued expansion beyond direct-to-consumer channels as the brand accelerates its U.S. omnichannel retail strategy. “Costco represents an important milestone in our U.S. retail strategy,” said Romeo, General Manager of International Business of Laifen. “As more consumers seek salon-quality performance at an accessible price, we’re excited to make Laifen available through one of America’s most trusted retailers.”

Engineered to deliver professional-level performance in a sleek, lightweight design, the Laifen SE is powered by the brand’s proprietary high-speed brushless motor, delivering fast drying, reduced heat damage and smoother styling. An intelligent temperature control system continuously monitors airflow to help minimize frizz while protecting hair from excessive heat.

The Costco launch represents the next phase of Laifen’s U.S. retail expansion as the brand continues to grow beyond its direct-to-consumer and online channels. By expanding into one of the nation’s most trusted retailers, Laifen aims to broaden access to its category-disrupting haircare solutions while advancing its mission to bring more thoughtful design and everyday excellence into more homes.

The Laifen SE High-Speed Hair Dryer in White will be available at select Costco locations, while Costco.com shoppers will have access to additional color options including Purple and Pink, alongside the White model.

For more information on Laifen, please visit LaifenTech.com.

About Laifen: 

Founded in 2019, Laifen is a global personal care technology brand combining high-performance engineering with modern design across hair care, oral care, and grooming categories. Ranked the world’s No. 1 high-speed hair dryer brand by Euromonitor International, Laifen first gained recognition for its self-developed 110,000 RPM high-speed brushless motor, the proprietary technology behind its award-winning hair dryers.

Building on this innovation, Laifen has expanded its portfolio to include electric toothbrushes and shavers, delivering premium technology and elevated everyday experiences to consumers worldwide. Today, Laifen products and accessories are used by over 22 million households across more than 60 countries, supported by more than 600 patents and recognized with over 50 international design and innovation awards. Driven by continuous technological breakthroughs, Laifen is committed to making cutting-edge personal care technology more accessible to consumers around the world.

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SOURCE Laifen

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Pillsbury Notice of Data Breach

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NEW YORK, July 18, 2026 /PRNewswire/ — Pillsbury Winthrop Shaw Pittman LLP (“Pillsbury”) was among many law firms targeted by sophisticated social engineering attempts in an incident last year. While the firm quickly detected and blocked the activity, an unauthorized actor was able to access some of the firm’s documents during a short window of time. Pillsbury notified any impacted clients last year and undertook a detailed process to review the accessed documents for personal information. Pillsbury then began notifying individuals whose personal information was affected. That process is now complete, and today, Pillsbury is publishing substitute notice as a final step.

For more information, please visit the substitute notice on our website at https://www.pillsburylaw.com/en/breach-notice.html

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SOURCE Pillsbury Winthrop Shaw Pittman LLP

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From Remote Racing to Embodied AI: Fibocom and Intedigo Bring 5G Bidirectional Data Transmission into Real-World Applications

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SHANGHAI, July 18, 2026 /PRNewswire/ — From July 17 to 20, Fibocom and Intedigo will jointly present a cross-regional, beyond-visual-line-of-sight (BVLOS) teleoperation demonstration at Booth H3-C408 during the World Artificial Intelligence Conference (WAIC) 2026. Visitors will be able to enter a remote driving cockpit and control a real race car located at HURA PARK in Jiading, Shanghai, steering, accelerating, and braking in real time while experiencing how 5G connectivity enables remote operation.

More than an immersive driving experience, the demonstration provides a live validation of 5G bidirectional data transmission for embodied AI teleoperation. The vehicle continuously sends live track video, vehicle status, and operating data to the remote cockpit, while control commands are transmitted back to the vehicle, creating a closed-loop teleoperation system. Stable, low-latency, and highly reliable connectivity is essential for high-dynamic maneuvers such as high-speed cornering, precision braking, and continuous lane changes.

Developed by Intedigo, the remote driving system connects a real race car with an immersive remote driving cockpit. It supports 1080p@60Hz video transmission, glass-to-glass (G2G) video latency of less than 80 ms, and control latency of less than 10 ms. The demanding racing environment magnifies differences in video continuity and control responsiveness, making communications performance directly perceptible, measurable, and verifiable.

At the joint demonstration, Fibocom’s FM160 5G module provides cellular connectivity for the system. Powered by the Qualcomm Snapdragon™ X62 5G Modem-RF System, the FM160 supports SA and NSA network architectures as well as 3GPP Release 16. On the downlink, it supports NR Carrier Aggregation (NR CA) with bandwidth of up to 120 MHz, delivering peak speeds of up to 3.5 Gbps in NSA mode and 2.5 Gbps in SA mode. On the uplink, it supports UL MIMO and delivers peak speeds of up to 900 Mbps in SA mode. These capabilities support the continuous transmission of HD video and vehicle status data, along with reliable delivery of control commands.

As embodied AI moves into factories, data centers, logistics operations, and industrial parks, robots are becoming increasingly capable of performing tasks autonomously. Yet complex environments, unexpected events, and edge cases still require Human-in-the-Loop (HITL) remote intervention to help ensure safe and reliable operation.

Daniel Liu, CEO of Intedigo, said:

“5G represents the pinnacle of human communications and the starting point of machine communications. In the past, communications connected people to people; in the future, they will connect people to robots and robots to robots. Remote racing is simply the easiest entry point for people to understand this concept. What we are truly validating is a communications system capable of supporting remote collaboration for embodied AI. HURA makes low-latency remote driving a tangible experience, while RoBOX extends this capability to robots and a broader range of intelligent terminals. Together with Fibocom, we hope to enable more machines to receive remote assistance whenever needed while remaining continuously connected and operating reliably.”

Simon Tao, VP of Wireless Solutions Business Group and General Manager of MBB BU at Fibocom, said:

“As embodied AI enters real-world industrial environments, reliable connectivity will become the foundation for telemetry feedback, remote control and operational management. Fibocom’s 5G solutions, represented by FM160, provide the cellular connectivity required for continuous on-site data transmission and reliable control command delivery. Fibocom will continue collaborating with ecosystem partners such as Intedigo to bring cellular connectivity to more robots, autonomous machines and mobile intelligent terminals, enabling embodied AI systems to stay continuously connected and respond reliably in real-world applications.”

From remote race cars to robots, unmanned equipment, and mobile intelligent terminals, 5G is evolving from connecting people to connecting machines. This joint demonstration makes the capabilities of 5G bidirectional data transmission directly perceptible, experiential, and verifiable, helping pave the way for embodied AI to scale across real-world applications.
 

About Fibocom

Fibocom, founded in 1999, is China’s first wireless communication module company listed on both the A-share and H-share markets (300638.SZ, 0638.HK). As a global leading provider of wireless communication modules and AI solutions, Fibocom leverages wireless communication and artificial intelligence as its core technologies to provide integrated hardware and software solutions that empower industry applications. These solutions accelerate the transformation from “Connect Everything” to “Intelligent Connectivity” across diverse industries.

Fibocom’s one-stop solutions encompass cellular communication, AI, automotive, and GNSS modules, as well as AI toolchains, supporting industry-side and mainstream large model integration, and providing AI Agent, global connectivity, and cloud services, driving the digital intelligence upgrades in industries such as robotics, consumer electronics, low-altitude economy, intelligent transportation, smart retail, and smart energy.

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SOURCE Fibocom Wireless Inc.

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