Volvo Leverages AI and Virtual Worlds to Revolutionize Car Safety
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Volvo reconstructs crashes with AI in virtual worlds to make safer cars
Safety is Volvo's big thing. From three-point seatbelts to side-impact protection to blind-spot monitoring and much more, the Swedish automaker focuses its innovation on making its cars safer rather than faster around the Nurburgring. (Although in the past, it's made them faster, too -- sort of.)
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Volvo recreates unusual road incidents with AI for safer ADAS features
This new tech lets Volvo fine-tune how its ADAS features react in an infinite range of on-road scenarios Volvo has taken to a cutting-edge technique for reconstructing scenes in 3D virtual worlds to help its cars' safety software expect the unexpected. It's called Gaussian splatting, and it can
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Volvo is Using Virtual Reality to Save Lives on the Road
Volvo is utilizing AI-generated, life-like virtual worlds to advance the development of its safety software, including driver assistance systems (ADAS), with the goal of making its cars even safer. The Swedish automaker can now synthesize incident data collected by the advanced sensors in its new
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Volvo is using AI-generated worlds to make its cars safer and it's all thanks to something called Gaussian splatting
The technique can recreate "edge cases" to train models faster Volvo is using a new AI technique called 'Gaussian splatting' to train its vehicles and accelerate its goal of zero collisions on the roads - and it's all thanks to its recently expanded partnership with Nvidia. Last month we reported
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Volvo is using artificially generated worlds to improve car safety
It looks like Volvo has found a way to utilise artificial intelligence in a way we can all get behind. Using data gathered from its fleet of cars, the Swedish car maker is synthesising various situations and incidents to test and study its cars' safety features. This is all done through a new
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Volvo is using AI to make its cars safer: How is it doing it? - Softonic
Volvo has long been synonymous with automotive safety, and now the company is leveraging artificial intelligence to take its crash prevention systems to the next level. Thanks to a groundbreaking partnership with Nvidia, Volvo is using Gaussian splatting, a cutting-edge 3D rendering technique, to
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Volvo is using an AI technique called Gaussian splatting to create virtual environments for testing and improving car safety features, potentially accelerating the development of advanced driver assistance systems.
Volvo's Innovative Approach to Car Safety
Volvo, long known for its commitment to vehicle safety, is taking a groundbreaking step by employing artificial intelligence (AI) and virtual worlds to enhance its safety features. The Swedish automaker is utilizing a technique called "Gaussian splatting" to recreate and manipulate real-world driving scenarios in virtual environments, allowing for more comprehensive and efficient testing of its Advanced Driver Assistance Systems (ADAS)
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.The Power of Gaussian Splatting
Gaussian splatting is an advanced computational technique that generates realistic, high-fidelity 3D scenes from real-world visuals. This technology enables Volvo to create thousands of variations of traffic scenarios based on actual data collected from its fleet of vehicles
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. By manipulating these virtual environments, Volvo can test how its safety systems respond to a wide range of situations, including rare "edge cases" that are difficult to replicate in real-world testing.Accelerating Safety Innovation
The use of AI-generated virtual worlds significantly speeds up the development and validation process for Volvo's safety features. Alwin Bakkenes, Head of Global Software Engineering at Volvo Cars, explains, "We can select one of the rare corner cases and explode it into thousands of new variations of the scenario to train and validate our models against"
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. This approach allows Volvo to expose its software to complex and potentially dangerous scenarios at a scale and speed previously unattainable, reducing the time from months to days.Integration with Existing Technologies
Volvo's implementation of Gaussian splatting is part of a broader technological ecosystem. The company's partnership with NVIDIA provides the necessary computing power, including an AI supercomputing platform powered by NVIDIA DGX systems
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. This platform contextualizes data collected from various sensors in Volvo's new generation of fully electric cars, enhancing the development of AI models for safety.Related Stories
Real-World Data Collection and Application
Volvo's approach combines virtual testing with real-world data collection. The company has been gathering crash data since the 1970s, evolving from manual measurements at accident scenes to advanced sensor data from its current fleet
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. This historical commitment to data-driven safety innovation has led to the development of features like the Whiplash Injury Protection System and the Side Impact Protection System.Future Implications and Goals
The ultimate goal of Volvo's AI-driven safety initiative is to achieve zero collisions on the roads. By combining advanced sensor technology, such as LiDAR, with AI-powered simulations, Volvo aims to create more effective ADAS features. The company is also exploring the integration of these technologies into upcoming models, like the ES90, which will feature enhanced computing capabilities to support these advanced safety systems
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