Taking SenseCore AI Infrastructure as the cornerstone and SenseAuto Empower engine as the base, SenseTime's Autonomous Driving solutions are mainly oriented at SenseAuto Cabin, SenseAuto Pilot, and SenseAuto Connect to deeply explore the value of in-vehicle data and connect smart cars with SenseTime's smart industry ecosystem, thus realizing the symbiotic and win-win relationship with the automobile industry and ecosystem.
In the pursuit of more convenient, safer, and more comfortable driving experience, humans have opened the curtain of autonomous driving. Currently, intelligent driving and travel has been recognized as one of the future development directions of the automobile travel industry. “Software Defined Vehicle” (SDV) is no longer a theoretical concept, but an established fact.
The industrialization of intelligent driving is benefited from the breakthrough of deep learning algorithms and the rapid improvement of the training capabilities of visual foundation models. At present, the industry has basically completed the transition from extensive model “training” to foundation model “training”. In addition to the requirements for algorithms, foundation model training has higher requirements for super computing power, AI supporting infrastructure, AI tool chain, data compliance, and other aspects.
World-leading algorithm R&D capabilities, 60+ global visual field competition champions, rich experience in software and hardware platform adaptation and performance optimization, and injection of SenseTime's practical capabilities in 18 industries.
30+ designated projects covering more than 20 million passenger cars, professional team and sound quality management system, agile software iteration capability, and multi-dimensional test scenarios and capabilities.
Provide one-stop AI-native cloud services for the industrialization of intelligent driving, including data processing, data training, data simulation, data compliance, AI toolbox, etc., making intelligent driving scenarios free from technical concerns.
Relying on the ultra-large compute pool of SenseTime’s Artificial Intelligence Data Center 3740P in the Lin-gang Special Area and the supporting high-performance network, integrated storage, and other services specially designed for autonomous driving scenarios, meet the explosive growth demand of intelligent driving for computing power.
Relying on SenseCore's world-leading computing power and AI-native cloud technology, SenseTime's SenseAuto Pilot realizes intelligent driving foundation model training and cloud data fusion, provides full-stack software and hardware technical support for the industrialization of intelligent driving, and brings about one-stop solutions for different application scenarios of intelligent driving.
Self-developed new-generation intelligent driving technology, covering L1~L3 mass production capabilities and boosting the industrialization of intelligent driving vehicles relying on SenseTime's “horizontal perception platform” and “vertical full-stack intelligent driving technology”.
Relying on SenseTime's industry chain with complete AI capabilities such as driver perception, cabin perception, and smart entry, provide technical support for automobile intelligentization and digitization, and bring a more intelligent, safer, and more comfortable self-driving tour experience for both drivers and passengers.
Based on core capabilities such as multi-sensor fusion perception, high-precision positioning, vehicle interaction, and AR enhancement, create the ultimate connection experience of L4 autonomous driving suitable for scenarios such as industrial parks, demonstration road sections, and tourist attractions, and empower smart mobility.
Relying on the new pattern of SenseTime's large computing power+ foundation model, accelerate collection, annotation, training, and simulation, and achieve quick optimization and upgrade to solve long-tail problems in intelligent vehicle safety.
Provide technical capabilities such as SenseAuto Cabin, SenseAuto Pilot, and SenseAuto Connect to deeply explore the value of in-vehicle data and connect smart cars with SenseTime's smart industry ecosystem, thus realizing the symbiotic and win-win relationship with the automobile industry and ecosystem.
Provide basic computing power services required to support intelligent driving, including GPU and CPU computing power services, integrated storage services, high-performance network services, etc., to accelerate the implementation of intelligent driving scenarios.
Provide an industrial-level AI R&D platform integrating professional AI tool chains and open AIalgorithms to realize end-to-end AI R&D services from training to inference based on SenseTime's rich practical experience in the industry, thus meeting the business needs of R&D personnel in all links of model production.
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