Vehicle Radar Visualization for 360-Degree Night Hazard Detection
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Solution Overview
Problem
Conventional night vision systems for vehicles are limited by being front-facing only, costly, energy-intensive, and ineffective in adverse weather conditions, and they do not directly detect movement or provide a comprehensive 360-degree view.
Innovation Solution
A computer-implemented method using radar sensors to generate a 360-degree visualization of the vehicle's surroundings, integrating machine learning for object detection and segmentation, which combines radar data with other sensor data to provide a 3D representation and alerts, displayed on a head-up display or augmented reality interface, regardless of illumination or weather.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If conventional night vision systems are used, then front-facing visibility is improved, but the system is limited to front-facing only and cannot provide 360-degree view
Solution Approach 1:
The patent divides the viewing area into multiple zones by deploying radar sensors at different locations on the vehicle (front, rear, left, right). Each radar sensor captures data for a specific zone, and these segmented views are combined to form a complete 360-degree visualization, resolving the limitation of front-facing only systems
Solution Approach 2:
The patent transitions from a single-front-facing 2D view to a multi-dimensional 360-degree spatial coverage by positioning sensors in three-dimensional space around the vehicle. This dimensional expansion allows comprehensive surround view capability that overcomes the directional limitation of conventional systems
2Illumination intensity
If conventional night vision systems are used, then night visibility is improved, but the system is costly and energy-intensive
Solution Approach 1:
The patent replaces the mechanical/optical night vision system (which uses infrared illuminators and cameras) with a radar-based electromagnetic sensing system. Radar sensors passively emit electromagnetic waves and detect reflections, providing night and adverse weather visibility without the high energy consumption of active infrared illumination, thus resolving the energy efficiency contradiction
Solution Approach 2:
The patent changes the operating parameters from optical/infrared wavelengths to microwave/radar wavelengths, which have different interaction properties with atmospheric conditions and objects. This parameter change enables all-weather penetration capability while reducing energy consumption compared to high-power infrared systems
3Illumination intensity
If conventional night vision systems are used, then night visibility is improved, but the system is ineffective in adverse weather conditions
Solution Approach 1:
The patent changes the electromagnetic wavelength parameter from optical/infrared to radar frequencies, which have longer wavelengths that can penetrate rain, fog, and snow more effectively. This parameter change provides reliable detection in adverse weather conditions where optical systems fail, resolving the reliability contradiction
Solution Approach 2:
The patent uses multiple relatively simple radar sensors that can be mass-produced at lower cost compared to complex optical night vision systems. While individual radar sensors have limitations, their redundancy and complementary coverage provide reliable all-weather performance through system-level integration rather than relying on expensive single-point technology
4Illumination intensity
If conventional night vision systems are used, then basic visibility is improved, but the system does not directly detect movement
Solution Approach 1:
The patent replaces passive optical detection with active radar electromagnetic sensing, which inherently measures velocity through Doppler frequency shift of reflected waves. This substitution provides direct, precise movement detection capability that optical systems cannot achieve, resolving the measurement precision contradiction
Solution Approach 2:
The radar system continuously emits electromagnetic waves and receives reflected signals, creating a feedback loop that provides real-time information about both object position and velocity. This continuous feedback mechanism enables dynamic tracking and direct movement detection, overcoming the static nature of conventional night vision systems
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
Enables enhanced driver awareness with a comprehensive, cost-effective, and energy-efficient night vision system that detects potential hazards and provides a clear, interpretable visualization in low visibility and adverse weather conditions, improving safety and convenience.
Implementation Method 1
determining data associated with radar responses captured by at least one radar sensor mounted on the vehicle
Data Source
Figure 1A
Figure 1B
Figure 1C
AI summary
A computer implemented method for displaying information to an occupant of a vehicle comprises the following steps carried out by computer hardware components: determining data associated with radar responses captured by at least one radar sensor mounted on the vehicle; determining a visualization of the data; and displaying the visualization to the occupant of the vehicle.