Stellantis development
aiMotive technology supercharges Stellantis' mid-term development of STLA AutoDrive, the company’s autonomous driving tech platform
With our tooling and embedded solutions, our automotive partners can accelerate their development time and reduce costs so they can become leaders in ADAS and AD-related experience. Our vision has not changed since our foundation: we would like to enable everyone to enjoy the benefits of automated driving.
Since day one, we have looked at driving automation as a complex problem and worked on a holistic solution, instead of specializing in one isolated area. This holistic approach tackles both the tooling and the embedded solutions challenges of automated driving. Our expertise is in the combination of these pillars, making autonomous driving a reality. aiMotive's market-ready products enable our partners to quickly deploy affordable advanced ADAS and automated driving solutions.
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Since day one, we have looked at driving automation as a complex problem and worked on a holistic solution, instead of specializing in one isolated area. This holistic approach tackles both the tooling and the embedded solutions challenges of automated driving. Our expertise is in the combination of these pillars, making autonomous driving a reality. aiMotive's market-ready products enable our partners to quickly deploy affordable advanced ADAS and AD solutions.
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19 June 2025
Deploying high-accuracy neural networks on embedded systems is a major challenge. Developers are forced to balance performance, memory constraints, and power consumption – all while ensuring model accuracy remains intact. That’s where quantization-aware training (QAT) becomes essential.
Read More15 May 2025
At aiMotive, we're constantly pushing the boundaries of what's possible in virtual testing. Today, we're excited to share a breakthrough setting a new industry benchmark: in partnership with AVL ZalaZONE , we've created the world's first neural-reconstructed, fully digitalized automotive proving ground.
Read More13 March 2025
Neural reconstruction has advanced significantly in the past year, and dynamic models are becoming increasingly common. However, these models are limited to handling in-domain objects that closely follow their original trajectories.
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