Autonomous Driving
In an era where new-energy vehicles and AI are deeply integrated, automotive intelligence has become a strategic emerging industry and a core engine of growth. Autonomous driving—among the most representative applications of embodied AI—is a key breakthrough for bringing AI into the physical world, reshaping mobility, mobile work, and social learning, and driving the future of transportation and robotics. Aligned with national strategies for a strong transportation nation and dual-carbon goals, Xinwei Institute has built a distinctive Autonomous Driving program centered on project practice, three-campus collaboration, industry–academia–research integration, and cross-disciplinary innovation—creating a direct pathway for students into AI and intelligent vehicle frontiers, and developing talent with hard-core technical and hands-on capability.
Training Focus
Grounded in “AI + intelligent transportation + vehicle engineering,” the program focuses on multi-scenario autonomous driving technologies, spatial computing, test validation, and industry services—cultivating innovative, application-oriented talent in autonomous driving principles, environment perception, sensor fusion, path planning, and intelligent testing.
Practice Platforms
Facilities include autonomous driving simulation environments, sensor-fusion labs, onboard computing platforms, unmanned vehicle labs, a spatial-intelligence supercomputing center, and an automotive metaverse platform. Geely Research Institute’s AD team provides real projects, scenario data, and algorithm models, with industry experts teaching and mentoring. Through simulation, on-vehicle testing, research topics, and job practicums, students master the full AD development pipeline.
Duration & Degree
A four-year undergraduate program awarding a Bachelor of Engineering. Modular teaching emphasizes distinctive, differentiated core courses and industry projects closely aligned with employer needs.
Core Curriculum
- Intelligent Perception : digital image processing, computer vision, intelligent vehicle perception, onboard sensors, multi-sensor fusion
- Intelligent Decision-Making : AI foundations, machine learning, deep learning, reinforcement learning, AD decision & planning
- System Development : automatic control, embedded systems, AD system integration & testing, vehicle control
- Signature Innovation : spatial intelligence, 3D reconstruction, AD simulation development, robot system development
- Geely Practice Projects : visual fatigue detection, spatial intelligence training, AD scenario simulation, on-vehicle AD debugging, multi-sensor fusion localization
Career Outlook
Project-based learning runs throughout the program, guided by real industry demand, with an integrated practice system of “project intake + code cases + AI programming + data engineering” and continuous industry internships over four years. Academic, industry, and AI mentors jointly support students; industry experts deeply engage in teaching and project guidance. Assessment emphasizes practice outcomes, connecting classroom learning to job roles so graduates grow into core technical talent in autonomous driving and embodied AI. Roles include AD algorithm development, system integration, testing & certification, and data analysis, across OEMs, logistics, unmanned navigation, intelligent robots, transport tech, and smart traffic management. We cannot predict every future—but we can cultivate AI leaders who create it. Join a higher-education program born for the age of artificial intelligence.
Intelligent Cockpit
As high-speed internet and AI deeply reshape the new-energy vehicle industry, the era of software-defined vehicles is arriving. The cabin is evolving from a traditional driving space into an intelligent mobile “third space.” With immersive interaction, full-scenario services, and human–vehicle emotional collaboration at its core, the intelligent cockpit is among the most everyday applications of embodied AI—reshaping mobility, entertainment, work, and lifestyle services. Addressing talent gaps in automotive intelligence, Xinwei Institute pioneered an Intelligent Cockpit specialty centered on multimodal interaction, in-vehicle ecosystem design, and automotive-grade experience, with clear strengths in cross-disciplinary integration, end-to-end project practice, deep enterprise collaboration, and scenario-based training—building a fast lane into intelligent vehicles and smart-space industries for aspiring talent who master technology, design, and experience.
Training Focus
Focused on “HMI + scenario services + digital ecosystems,” the program builds a four-in-one curriculum of vehicle engineering, electronics & information, design aesthetics, and psychological needs—cultivating multidisciplinary talent in multimodal interaction, cockpit system development, in-vehicle software design, UX optimization, and automotive-grade testing.
Practice Platforms
Platforms include interactive virtual simulation, cabin scenario simulation, in-vehicle display & control, and special-environment reliability testing. Training covers interaction prototyping, system development, experience testing, and vehicle-level integration around social, entertainment, wellness, learning, and immersive mobile-space services.
Duration & Degree
A four-year undergraduate program awarding a Bachelor of Engineering. Modular teaching introduces distinctive courses and industry projects in spatial intelligence perception, natural language interaction, and virtual–real fused simulation, oriented toward user-driven innovation.
Core Curriculum
- Intelligent Interaction : digital image processing, computer vision, NLP, intelligent multimodal interaction
- Cockpit Development : embedded systems, in-vehicle software architecture, in-vehicle networking, automotive bus technologies
- Experience Design : ergonomics, UI/UX design, spatial intelligence, automotive metaverse
- Testing & Safety : automotive-grade testing, system integration, information security, vehicle control
- Signature Practice Projects : steering-wheel & seat haptic sensing, multimodal voice interaction, cabin scenario adaptation, immersive mobility experience development, emotional interaction design for intelligent cockpits
Career Outlook
Project-based teaching runs end to end, combining innovative exploration of mobile intelligent terminals to uncover and meet cabin value-added service needs. Built around Geely projects, the program delivers a full pipeline of “virtual simulation + digital twin + multi-agent systems + prototype validation + engineeringization,” with continuous enterprise practice over four years. Academic, industry, and AI mentors—joined by senior Geely Research Institute experts—guide teaching and projects; assessment emphasizes process outcomes that connect classroom learning to industry roles. Graduates grow into core talent for intelligent cockpits and smart mobile spaces, ready for interaction design, in-vehicle software, experience research, cockpit system testing, and intelligent ecosystem building—across OEMs, smart home, automotive metaverse, smart services, and mobile-space development. We cannot predict every future—but we can cultivate AI leaders who create it. Join a higher-education program born for the age of artificial intelligence.