The Future of Automotive - AD/ADAS

ADAS’ evolving technology has piloted innovation in electronic components that helps engineers develop advanced ADAS systems that enhance vehicle safety and improve the overall driving experience. We have a portfolio of products that support the mechanisms that are key components of ADAS including Lidar, Radar, Cameras, Adaptive cruise control, Blind spot monitoring, Adaptive/automatic leveling headlights, Park assist, Following distance warning, Forward collision warning, Pedestrian detection, Traffic sign recognition, Tire Pressure Monitoring Systems (TPMS), Navigation system, Driver drowsiness detection, Lane departure warning and Lane assist.

Application-Specific Block Diagrams and Product Lineups

Park Assist

Park assist may use an assortment of Murata sensors and cameras to scan vehicle surroundings. The technology employs...

object-detection functionality to seamlessly integrate with autonomous driving to optimizing. Park assist is an indispensable feature in the realm of autonomous driving. As this technology continues to advance, Murata will continue pursue innovations that support this utility.

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Electronic Stability Control (ESC)/Lane Assist

As part of the evolving Lane Departure Warning/Lane Assist technology, ESC to keep the car on the road. Yaw rate and lateral...

acceleration measured by an angular rate sensor and lateral acceleration measured by a low-g accelerometer are compared to those calculated from the wheel speed information and the steering wheel angle.

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Radar

Radar has unmatched ability to accurately detect objects in various weather conditions. By continuously scanning the surroundings...

to detect and track other vehicles, pedestrians, and obstacles, radar systems enable autonomous vehicles to make informed decisions and take appropriate actions, thereby reducing the risk of accidents.

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Cameras

Cameras capture and analyze the surrounding environment, allowing the vehicles to make informed decisions and navigate safely. By using...

advanced computer vision techniques, sensing cameras can detect and identify objects such as pedestrians, vehicles, traffic signs, and road markings.
Algorithms to interpret the visual data and make real-time decisions enabling self-driving cars to respond accordingly.

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LiDAR

Murata’s LIDAR sensors emit reflected light rays that are analyzed by complex machine learning algorithms. The information is converted into 3D images, which map surrounding objects, ...

enabling obstacle detection and collision avoidance in real-time. Constant innovation in lidar technology continues to make modules more compact, cost-effective and robust.

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Tire Pressure Monitoring Systems

Tire Pressure Monitoring Systems (TPMS) provide critical data for precise navigation and decision-making. With the ability to detect changes in tire pressure, the system allows autonomous...

vehicles to make informed adjustments based on varying road conditions and environmental factors. This data is seamlessly integrated into the vehicle's computational systems, leading to enhanced operational safety and efficiency.

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