Tag Archives: Engineering

Koenigsegg x CHIMI Forca-G: When Hypercars Meet High Fashion

Koenigsegg, known for its exceptional hypercar engineering, is taking its commitment to excellence to new heights with its collaborations with luxury brands and artists. These partnerships and capsule collections not only showcase Koenigsegg’s merging of the automotive world with artistry but also solidify its position as an unrivaled ultra-luxury brand. Koenigsegg is excited to announce its latest lifestyle collection in collaboration with the Swedish fashion brand CHIMI. This collection features a range of high-fashion apparel and accessories.

In a campaign featuring Swedish rapper Yung Lean, Koenigsegg x CHIMI’s special project draws inspiration from racing culture and the exhilaration of speed.

Yung Lean showcases pieces from the new collection in a video of him driving the new Koenigsegg CC850 hypercar. The Forca-G Collection features clothing and eyewear crafted from the same materials used in the Koenigsegg Jesko, the fastest car in the world. The Forca-G lineup includes a high-performance Metal Jacket as well as two sunglass styles designed for an aerodynamic fit. The Koenigsegg x CHIMI Collection introduces a modern style that perfectly aligns with the hypercar industry’s pursuit of performance. Explore and shop the Koenigsegg x CHIMI Forca-G Collection by clicking the link below.

Shop Koenigsegg x CHIMI Forca-G

Toyota Research Institute Unveils New Generative AI Technique for Vehicle Design

New Technique Gives Designers Added Capabilities by Incorporating Engineering Constraints Into Generative AI Models

LOS ALTOS, Calif. (June 20, 2023) – Toyota Research Institute (TRI) today unveiled a generative artificial intelligence (AI) technique to amplify vehicle designers. Currently, designers can leverage publicly available text-to-image generative AI tools as an early step in their creative process. With TRI’s new technique, designers can add initial design sketches and engineering constraints into this process, cutting down the iterations needed to reconcile design and engineering considerations.

“Generative AI tools are often used as inspiration for designers, but cannot handle the complex engineering and safety considerations that go into actual car design,” said Avinash Balachandran, director of TRI’s Human Interactive Driving (HID) Division, whose team worked on the technology. “This technique combines Toyota’s traditional engineering strengths with the state-of-the-art capabilities of modern generative AI.”

TRI researchers released two papers describing how the technique incorporates precise engineering constraints into the design process. Constraints like drag (which affects fuel efficiency) and chassis dimensions like ride height and cabin dimensions (which affect handling, ergonomics, and safety) can now be implicitly incorporated into the generative AI process. The team tied principles from optimization theory, used extensively for computer-aided engineering, to text-to-image-based generative AI. The resulting algorithm allows the designer to optimize engineering constraints while maintaining their text-based stylistic prompts to the generative AI process.

The new generative AI technique optimizes aerodynamic drag in successive iterations based on parameter inputs from the designer.

As an example, a designer can request, via text prompt, a suite of designs based on an initial prototype sketch with specific stylistic properties like “sleek,” “SUV-like,” and “modern” while also optimizing a quantitative performance metric. In the research paper, the team focused specifically on aerodynamic drag. The approach can also optimize any other performance metrics or constraints inferred from a design image.

“TRI is harnessing the creative power of AI to amplify automobile designers and engineers,” said Charlene Wu, senior director of TRI’s Human-Centered AI (HCAI) Division, whose team collaborated with the Human Interactive Driving team on this project.

Vehicle design sketch incorporating the results of TRI’s new generative AI + optimization technique (courtesy of XD : Experimental Design Studio of Toyota).

By incorporating engineering constraints directly into the design process, this tool could also help Toyota design electrified vehicles more quickly and efficiently.

“Reducing drag is critical for improving the aerodynamics of BEVs to maximize their range,” said Takero Kato, BEV factory president, Toyota Motor Corporation.

For more technical details on this new technique, refer to the following two papers, available at:

Interpreting and Improving Diffusion Models Using the Euclidean Distance Function, F. Permenter, C. Yuan, 2023.

Drag-guided diffusion models for vehicle image generation, N. Arechiga, F. Permenter, B. Song, C. Yuan, 2023.

 About Toyota Research Institute

Toyota Research Institute (TRI) conducts research to amplify human ability, focusing on making our lives safer and more sustainable. Led by Dr. Gill Pratt, TRI’s team of researchers develop technologies to advance energy and materials, human-centered artificial intelligence, human interactive driving, machine learning, and robotics. Established in 2015, TRI has offices in Los Altos, California, and Cambridge, Massachusetts. For more information about TRI, please visit http://tri.global.