Multi-Camera Vehicular Vision for Surround View and Object Detection
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Solution Overview
Problem
Existing vehicle imaging systems lack the ability to effectively integrate multiple cameras to provide a comprehensive surround view and object detection capabilities, particularly for rearward maneuvers, leading to potential accidents during reversing and low-speed operations.
Innovation Solution
A vehicle vision system utilizing multiple exterior-facing cameras, including forward and rearward-facing cameras, with an integrated image processor to process data and provide a surround view, detect objects, and generate alerts or automatic braking, enhancing safety during reversing and low-speed operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple cameras are integrated to provide surround view and object detection, then object detection capability and safety are improved, but device complexity increases
Solution Approach 1:
The patent combines multiple camera systems (forward-facing, rearward-facing, and side-view cameras) into a single integrated vision system that processes images from all cameras through a common image processor. This merging approach enables comprehensive object detection and surround view functionality while managing system complexity through unified processing architecture.
Solution Approach 2:
The vision system is designed to perform multiple functions simultaneously: providing surround view for the driver, detecting objects for safety alerts, and enabling automatic emergency braking. The image processor analyzes images from multiple cameras to fulfill these diverse functions, maximizing the utility of the integrated system.
2Measurement precision
If multiple cameras and processing units are used, then object detection accuracy is improved, but processing time and energy consumption increase
Solution Approach 1:
The system continuously captures and pre-processes images from all cameras even before a collision threat is detected. This preliminary action ensures that when an object is identified as a potential threat, the processing time is minimized because the images are already captured and partially processed, enabling faster safety responses.
Solution Approach 2:
The patent introduces an intermediary image processor that acts as a mediator between the multiple cameras and the control systems. This intermediary performs initial image analysis and filtering, identifying potential objects of interest before transmitting detailed information to the alert and braking systems, thereby reducing overall processing time while maintaining detection accuracy.
Data Source
AI summary
A vehicular vision system includes an electronic control unit (ECU) having a plurality of coaxial connectors. Individual vehicular cameras of a plurality of vehicular cameras are connected to respective coaxial connectors of the ECU via respective coaxial cables. Electrical power for a vehicular forward-viewing camera is carried from the ECU to the vehicular forward-viewing camera via a first coaxial cable connected to a first coaxial connector of the ECU. Image data captured by the vehicular forward-viewing camera is carried to the ECU via the first coaxial cable and is converted at a first serializer of the camera to first serialized image data and is de-serialized at a first de-serializer of the ECU to form first de-serialized image data. Responsive at least in part to processing of first de-serialized image data, an object is detected. Processing of first de-serialized image data at the ECU includes structure from motion (SFM) processing.