Vehicle Object Recognition with Synchronized LiDAR-Camera Scanning
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Solution Overview
Problem
Existing driver assistance systems struggle to reliably recognize surroundings with high accuracy and efficiency, particularly in dynamic environments, due to challenges in synchronizing data from multiple sensors and compensating for scanning speed differences.
Innovation Solution
A system integrating a LIDAR module with an optical matrix and a camera module, synchronized through a controller to adapt scanning patterns, and optionally incorporating additional sensors like 3D radar, to create synchronized and overlapping fields of view, enabling precise and efficient object recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors (LIDAR and camera modules) are integrated to improve object recognition accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent combines LIDAR and camera modules into a single integrated system with synchronized scanning patterns. The controller coordinates both sensors to capture data simultaneously from overlapping fields of view, merging their capabilities to achieve comprehensive object recognition while managing system complexity through unified control.
Solution Approach 2:
The system employs multi-functional sensors where the LIDAR module provides both distance measurement and the camera module provides visual identification. Both sensors operate with the same scanning pattern and share the same field of view, allowing them to perform complementary functions that enhance overall system capability without requiring separate independent systems.
2Productivity
If scanning patterns are synchronized to improve data processing efficiency, then productivity is improved, but device complexity increases
Solution Approach 1:
The controller pre-configures the scanning patterns of both LIDAR and camera modules to be synchronized before data collection begins. By establishing the scanning coordination in advance, the system ensures efficient simultaneous data acquisition without requiring complex real-time adjustments, thereby improving productivity while controlling complexity.
Solution Approach 2:
The system incorporates feedback mechanisms where the controller continuously monitors the scanning status of both sensors and adjusts the scanning patterns to maintain synchronization. This feedback loop ensures that data from both sensors is captured at corresponding positions, improving processing efficiency while managing control complexity through automated adjustment.
3Measurement precision
If overlapping fields of view are used to improve recognition accuracy, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The LIDAR and camera modules are configured with overlapping fields of view that are scanned simultaneously in a coordinated manner. By merging the scanning operations and capturing data at the same time instances, the system achieves comprehensive coverage without significant time loss, as both sensors operate in parallel rather than sequentially.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances vehicle safety and driver comfort by providing real-time, accurate object recognition with reduced computational power and energy consumption, minimizing errors and collisions.
Implementation Method 1
The light source (11) is adapted to emit pulses of light
Implementation Method 2
LIDAR (Light Detection and Ranging) is a form of three-dimensional laser scanning
Implementation Method 3
The receiver (15) is adapted to detect the emitted pulses of light which are scattered by one or more distant objects
Implementation Method 4
The optical matrix (12) is adapted to direct the emitted pulses of light in accordance with a first scanning pattern
Data Source
AI summary
A system for object detection for a vehicle, having a LIDAR module including a light source emitting light pulses, an optical matrix directing the emitted light pulses in accordance with a first scanning pattern illuminating a first field of view of the LIDAR module at a first scanning speed, and a receiver configured detecting the emitted light pulses scattered by one or more distant objects in order to record a first image using the first scanning pattern. The system further includes a camera module which records a second image of a second field of view at a second scanning speed. The second field of view at least partially overlaps the first field of view. The system further includes a controller which is signal-coupled to the camera module and the LIDAR module. The controller is configured to adapt the scanning pattern to synchronize the scanning patterns with one another in time.