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AI4CSM - Automotive Intelligence for/at Connected Shared Mobility

The AI4CSM project develops advanced electronic components and systems (ECS) and architectures for future mass-market electric connected autonomous and shared (ECAS) vehicles. This fuels the digital transformation in the automotive sector to support the mobility trends and accelerate the transition towards a sustainable green and digital economy.

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Key innovations

AI4CSM delivers key innovations in technical areas, including sensor fusion and perception platforms; efficient propulsion and energy modules; advanced connectivity for cooperative mobility applications; vehicle/edge/cloud computing integration concepts; new digital platforms for efficient and federated computing; and intelligent components based on trustworthy AI techniques and methods.

Sustainability goals in mobility and transportation

The European Green Deal defines four key elements for a sustainable mobility and automotive industry: climate neutrality, zero pollution Europe, sustainable transport, and the transition to a circular economy. Digital technologies are a significant enabler for attaining the sustainability goals in mobility and transportation. The AI4CSM projects developed technologies to ensure that digital technologies such as AI, 5G, IoT and cloud/edge computing can accelerate the automotive industry's transition to electrical, autonomous, connected, and shared vehicles.

ECAS vehicles, enabled by embedded intelligence and functional integration for future mobility, become pivotal for the automotive sector to address the Green Deal principles.

New scalable AI-enabled platforms

The research and demonstration on AI-based perception and sensor fusion include new scalable AI-enabled platforms for autonomous mobility interconnected with secure communication architectures and systems.

The technological developments are integrated, among others, into AI-enabled perception and sensor fusion platform technologies into demonstrators for a use case for delivering goods (last-mile delivery) into a controlled urban/sub-urban environment. The perception and sensor fusion platforms use multiple perception sensors, AI-based processing techniques/methods, and V2X communication technology.

Key Factors

Project duration

2021 - 2024


EU H2020 ECSEL, Funded under INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT).

Project type


AI4CSM project official website

Project coordinator

Infineon Technologies AG, Germany

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