Speed into the future of automotive lighting design.
Developing modern automotive lighting systems requires engineers to balance optical performance, styling requirements, manufacturability, and regulatory compliance. LucidShape provides simulation, analysis, visualization, and validation tools that help teams design and evaluate lighting systems earlier in development, reducing reliance on physical prototypes and supporting faster design iterations.
LucidShape
Design and optimize automotive lighting systems.
LucidShape allows you to create and analyze automotive lighting designs. It includes modules to streamline shape creation, simulation, and interactive analysis.
LucidShape CAA V5 Based
Develop automotive lighting directly inside the CATIA V5 environment.
Increase productivity with LucidShape CAA V5 Based, the industry’s only complete workflow solution available within the CATIA V5 environment to create and visualize automotive lighting designs.
LucidDrive
Validate lighting performance through virtual night-driving simulation.
LucidDrive night-driving simulation explores the effectiveness of your automotive lighting designs before costly fabrication and testing phases. With this standalone simulation tool, conduct realistic beam pattern evaluations for vehicle headlamps to ensure optimal performance in real-world conditions.
Iterate faster, validate against evolving regulations, and communicate lit appearance earlier in the design cycle with the latest features in LucidShape 2026.
Automotive lighting design software enables engineers to design, simulate, analyze, and validate vehicle lighting systems before physical prototypes are built. LucidShape products support exterior automotive lighting workflows, helping engineers evaluate optical performance, beam patterns, regulatory requirements, and visual appearance throughout development.
Engineers use LucidShape products to design and optimize exterior automotive lighting systems, including headlamps, signal lamps, daytime running lights (DRLs), tail lamps, and adaptive lighting technologies. Simulation-driven workflows help teams evaluate performance before testing and fabrication.
Engineers use optical simulation tools to create, analyze, and optimize headlamp designs, evaluate beam patterns, investigate optical efficiency, and assess regulatory performance before physical testing begins.
LucidShape products support the design and evaluation of advanced automotive lighting technologies, including adaptive driving beam systems and pixel lighting applications. Engineers can assess performance through simulation before vehicle testing.
Simulation enables engineers to evaluate beam patterns, illumination distribution, optical efficiency, and system behavior before physical prototypes are fabricated. This helps identify issues earlier in development and supports faster design iterations.
Night-driving simulation enables engineers to evaluate the effectiveness of automotive lighting systems in realistic virtual driving environments. LucidDrive allows teams to investigate visibility, beam performance, and driver experience before costly vehicle testing.
LucidShape is used to design, simulate, and optimize automotive lighting systems, while LucidDrive enables virtual night-driving evaluations that help engineers assess lighting performance in realistic driving scenarios.
LucidShape provides tools for automotive lighting design, simulation, and analysis. LucidShape CAA V5 Based delivers automotive lighting development workflows directly within the CATIA V5 environment, enabling design, visualization, analysis, and optimization in a unified CAD workflow.
By using simulation-driven design workflows, engineers can evaluate lighting performance, investigate design alternatives, and identify issues before building physical prototypes. This helps reduce development risk, shorten validation cycles, and improve engineering productivity.
Engineers use optical simulation, visualization, and virtual driving environments to assess headlamp performance, signal lighting behavior, illumination distribution, and overall system effectiveness before vehicle-level testing begins.
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