17937533. METHODS AND SYSTEMS FOR DETECTING BLIND SPOTS simplified abstract (GM GLOBAL TECHNOLOGY OPERATIONS LLC)

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METHODS AND SYSTEMS FOR DETECTING BLIND SPOTS

Organization Name

GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor(s)

Noah Sharkus of Grosse Ile MI (US)

Prabhjot Kaur of Auburn Hills MI (US)

Nicholas Constantine Sidiropoulos of Fraser MI (US)

METHODS AND SYSTEMS FOR DETECTING BLIND SPOTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17937533 titled 'METHODS AND SYSTEMS FOR DETECTING BLIND SPOTS

Simplified Explanation

The patent application describes a system and method for detecting blind spots of a vehicle by analyzing the head position of the driver and the position of vehicle pillars to determine blind spot areas and detect objects within them.

  • The method involves receiving head position data and pillar position data, calculating angles based on this data, determining blind spot areas, detecting objects within these areas, and generating notification, decision, or control data based on the detected objects.

Potential Applications

This technology could be applied in the automotive industry for the development of advanced driver assistance systems (ADAS) to enhance driver safety and prevent accidents caused by blind spots.

Problems Solved

This technology addresses the issue of blind spots in vehicles, which can lead to accidents if not properly detected and managed. By providing real-time information about objects in blind spot areas, this system helps drivers make informed decisions and avoid potential collisions.

Benefits

- Improved driver safety - Enhanced awareness of surroundings - Accident prevention

Potential Commercial Applications

"Enhanced Blind Spot Detection System for Vehicles"

Possible Prior Art

One possible prior art for blind spot detection systems in vehicles is the use of sensors and cameras to monitor the surroundings of the vehicle and alert the driver of potential hazards in blind spot areas.

Unanswered Questions

How does the system differentiate between different types of objects in the blind spot area?

The system may use object recognition algorithms to classify objects based on their size, shape, and movement patterns.

What is the accuracy rate of object detection in blind spot areas?

The accuracy rate may vary depending on environmental conditions, such as weather, lighting, and the speed of the vehicle. Further testing and validation may be needed to determine the system's overall accuracy.


Original Abstract Submitted

Systems and methods are provided for detecting a blind spot of a vehicle. In one embodiment, a method includes: receiving, by a processor, head position data indicating a position of a head of a driver of the vehicle; determining, by the processor, pillar position data associated with at least one pillar of the vehicle; determining, by the processor, at least one angle based on the head position data and the pillar position data; determining, by the processor, at least one blind spot area based on the at least one angle; detecting, by the processor, at least one object within the at least one blind spot area; and generating at least one of notification data, decision data, and control data based on the at least one object.