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Post: Magna’s new MAX4 self-driving platform offers autonomy up to Level 4
Magna’s new MAX4 self-driving platform offers autonomy up to Level 4.
Top-tier automotive supplier Magna introduced a highly adaptable autonomous driving platform, capable of integrating into various vehicles without affecting design or interior space. This platform provides scalable self-driving functions up to SAE Level 4, where human driver intervention is unnecessary in controlled environments.
Magna’s MAX4 platform was showcased in a Jeep Grand Cherokee, featuring advanced sensor technology including cameras, radar, ultrasonic, and LiDAR. This platform consumes a fraction of the power compared to other solutions, making it more efficient.
“The platform consists of multiple enabler subsystems, such as radars, LiDARs, cameras, compute platforms, etc.,” explained Magna‘s CTO, Swamy Kotagiri. “All of these enablers are either fully or nearly production ready.”
Magna also considered user experience by ensuring the system closely mimics Cruise Control operations. Drivers can activate it with a button, and disengage by pressing the brake pedal, or with a manual button.
Magna’s advancements in self-driving technologies cater to automakers’ demands. Notably, it achieved the first North American border crossing with a Level 3 autonomous vehicle, where the vehicle drove autonomously for 92% of a 300-mile journey between the U.S. and Canada.
The MAX4 platform can navigate urban and highway environments, but OEMs will be responsible for implementing the final product at scale.
How do autonomous vehicles work? Magna’s new MAX4 self-driving platform offers autonomy up to Level 4.
Various self-driving technologies are under development by companies like Google, Uber, Magna, Tesla, and Nissan. While specific designs vary, most systems rely on comprehensive sensor arrays such as radar, lasers, and cameras to create a detailed internal map of surroundings.
For example, Uber’s prototypes employ sixty-four laser beams, while Google’s have utilized lasers, radar, and high-powered cameras. These inputs are processed by software, which plots paths and sends instructions to the vehicle’s actuators (controlling acceleration, braking, and steering).
Autonomous vehicle systems use hard-coded rules and predictive algorithms for obstacle avoidance and navigation. Partially autonomous cars require human intervention during uncertainties, while fully autonomous cars may lack traditional controls like steering wheels.
Some autonomous cars are also “connected,” allowing them to communicate with each other or with infrastructure like smart traffic lights. However, most prototypes currently lack this capability.
For more details, you can visit the Magna MAX4 article or view their YouTube demo.
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