Vehicle Camera Layout With Multi-Focal Coverage for Blind Spot Reduction
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Solution Overview
Problem
Current autonomous driving technologies face limitations in perception ability and environment adaptability due to inadequate sensor arrangement, leading to potential blind spots and power constraints, which threaten driving safety and path planning.
Innovation Solution
A vehicle is equipped with multiple sets of cameras and sensors, each with varying focal lengths and fields of view, strategically positioned to provide comprehensive environmental perception, including front, side, and rear views, ensuring reliable detection of objects at different distances and angles, supplemented by LiDAR and millimeter-wave radar for redundancy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sets of cameras with varying focal lengths are strategically positioned to provide comprehensive environmental perception, then the vehicle's ability to perceive surroundings is improved, but the device complexity increases
Solution Approach 1:
The camera system is divided into multiple sets (first set, second set, third set) with different focal lengths and positioning locations. Each set is responsible for specific viewing ranges and angles, segmenting the overall perception task to achieve comprehensive coverage while maintaining manageable complexity through modular organization
Solution Approach 2:
The patent utilizes three-dimensional spatial positioning by placing cameras at different locations (front, side, rear) and orientations (facing front, side front, side). This multi-dimensional arrangement ensures comprehensive environmental perception from all necessary angles, transforming a two-dimensional perception problem into a three-dimensional solution
2Reliability
If sensors are positioned to cover all surrounding areas, then blind spots are minimized, but the power consumption increases
Solution Approach 1:
Different camera sets with specific focal lengths are assigned to specific spatial zones and detection tasks. For example, cameras facing front cover forward paths, while cameras facing side front cover peripheral areas. This localized specialization ensures comprehensive coverage without redundant sensing, optimizing power consumption by activating only the necessary sensors for each situation
Solution Approach 2:
The system employs multiple camera sets with overlapping fields of view to ensure critical areas are always covered, while less critical areas may have partial coverage. This partial redundancy provides reliability for safety-critical detection while avoiding excessive power consumption by not uniformly over-sensing all areas at maximum capability
Data Source
AI summary
The present disclosure relates to a vehicle. The vehicle includes a first set of cameras, including a first subset of cameras facing to the front of the vehicle; a second set of cameras, with focal lengths less than those of the first set of cameras, the second set of cameras including a second and a third subset of cameras, the second subset of cameras facing to the front of the vehicle, and third subset of cameras facing to a side front and/or a side of the vehicle; and a third set of cameras, with focal lengths less than those of the second set of cameras, the third set of cameras including a fourth and a fifth subset of camera, the fourth subset of cameras facing to the front of the vehicle, and the fifth subset of camera facing to the side front and/or side of the vehicle.


