Mercedes to Use NVIDIA Autonomous Technology in S-Class Vehicles

<p>Mercedes-Benz is marking 140 years of automotive innovation with a new S-Class lineup of vehicles built for the AI era&comma; bringing together automotive safety and<a href&equals;"https&colon;&sol;&sol;www&period;nvidia&period;com&sol;en-us&sol;solutions&sol;autonomous-vehicles&sol;" target&equals;"&lowbar;blank" rel&equals;"noopener"> NVIDIA’s advanced autonomous driving platform<&sol;a> to enable a<a href&equals;"https&colon;&sol;&sol;blogs&period;nvidia&period;com&sol;blog&sol;level-4-autonomous-driving-ai&sol;"> level 4-ready<&sol;a> architecture designed for trust&period;<&sol;p>&NewLine;<p>The new S-Class with MB&period;OS&comma; which will be equipped with the NVIDIA DRIVE Hyperion architecture and full-stack<a href&equals;"https&colon;&sol;&sol;www&period;nvidia&period;com&sol;en-us&sol;solutions&sol;autonomous-vehicles&sol;drive-av&sol;" target&equals;"&lowbar;blank" rel&equals;"noopener"> NVIDIA DRIVE AV<&sol;a> L4 software&comma; is designed to support future robotaxi operations — delivering safety-first autonomy with the NVIDIA Halos system and end-to-end AI and classical driving stacks running in parallel to ensure reliable operation&period;<&sol;p>&NewLine;<p>The S-Class enables a premium&comma; chauffeur-style autonomous experience&period; As part of NVIDIA’s previously announced<a href&equals;"https&colon;&sol;&sol;nvidianews&period;nvidia&period;com&sol;news&sol;nvidia-uber-robotaxi" target&equals;"&lowbar;blank" rel&equals;"noopener"> partnership with Uber<&sol;a>&comma; the companies will work together to make these autonomous vehicles available to riders through Uber’s mobility network&period;<&sol;p>&NewLine;<p>It showcases how legacy automakers and AI pioneers can <a href&equals;"https&colon;&sol;&sol;www&period;nvidia&period;com&sol;en-us&sol;solutions&sol;autonomous-vehicles&sol;partners&sol;mercedes&sol;" target&equals;"&lowbar;blank" rel&equals;"noopener">work together<&sol;a> to build vehicles that are safer&comma; smarter and increasingly autonomous — without compromising the high standards of quality and safety customers expect&period;<&sol;p>&NewLine;<p>&OpenCurlyDoubleQuote;Mercedes-Benz has set the standard in the automotive market&comma; building cars defined by exquisite craftsmanship and safety engineering&comma;” said Jensen Huang&comma; founder and CEO of NVIDIA&comma; in the above video celebrating the S-Class launch&period; &OpenCurlyDoubleQuote;Five years ago&comma; NVIDIA began working with Mercedes-Benz to help carry that legacy into the AI era&period;”<&sol;p>&NewLine;<p>Traditional autonomous driving approaches often rely on predefined rules or learned responses to familiar situations&period; But real-world driving is filled with rare and complex edge cases — from unpredictable pedestrian behavior and debris to unusual road conditions and aggressive cut-ins&period;<&sol;p>&NewLine;<p>NVIDIA DRIVE AV provides Mercedes-Benz’s new S-Class with a full-stack automated driving system designed to handle this long tail of driving scenarios&comma; while remaining anchored to a safety-first architecture&period;<&sol;p>&NewLine;<p>NVIDIA DRIVE AV is trained at scale on NVIDIA DGX systems and designed to be validated   using high-fidelity simulation with NVIDIA Omniverse NuRec libraries and NVIDIA Cosmos world models&period;<&sol;p>&NewLine;<p>Built on NVIDIA’s broader AI foundation — including advanced perception&comma; planning and reasoning technologies — NVIDIA DRIVE AV is optimized&comma; validated and distilled to run reliably in production vehicles&comma; tailored to Mercedes-Benz’s vehicle platforms and sensor configurations&period;<&sol;p>&NewLine;<p>NVIDIA DRIVE AV enables the system to analyze complex environments — rather than simply reacting to known patterns — evaluate multiple options and select the safest possible outcome in real time&period;<b><&sol;b><&sol;p>&NewLine;<p>For level 4 autonomy&comma; safety depends on more than simple redundancy&period; Vehicles must remain operational in the face of hardware faults&comma; sensor degradation and unexpected software behavior&period;<&sol;p>&NewLine;<p>The new S-Class will be built on<a href&equals;"https&colon;&sol;&sol;www&period;nvidia&period;com&sol;en-us&sol;solutions&sol;autonomous-vehicles&sol;drive-hyperion" target&equals;"&lowbar;blank" rel&equals;"noopener"> NVIDIA DRIVE Hyperion<&sol;a>&comma; a reference architecture that integrates sensor diversity and hardware redundancy into a unified platform&comma; to serve as a robotaxi&period;<&sol;p>&NewLine;<p>DRIVE Hyperion is designed based on defense-in-depth principles&colon;<&sol;p>&NewLine;<ul>&NewLine;<li>Redundant compute to help maintain operation if one processing element fails&period;<&sol;li>&NewLine;<li>Multimodal sensor diversity — spanning cameras&comma; radar and lidar — to support robust perception&period;<&sol;li>&NewLine;<li>Software stack diversity&comma; pairing AI-driven decision-making with a parallel classical safety stack to keep the vehicle operating within safe boundaries&period;<&sol;li>&NewLine;<&sol;ul>&NewLine;<p>Developed in accordance with <a href&equals;"https&colon;&sol;&sol;www&period;nvidia&period;com&sol;en-us&sol;ai-trust-center&sol;halos&sol;autonomous-vehicles&sol;" target&equals;"&lowbar;blank" rel&equals;"noopener">NVIDIA Halos<&sol;a> safety system&comma; NVIDIA DRIVE Hyperion helps eliminate single points of failure and provides the foundation needed for L4-ready systems&period;<&sol;p>&NewLine;

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