Adaptive Vehicle Lighting for Camera-Based Object Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current motor vehicle lighting systems are not optimized for camera-based object detection, leading to potential undetection of road objects in low-light conditions, which can be hazardous for autonomous driving systems.
Innovation Solution
A method for controlling a lighting system that defines specific lighting models and photometries for different types of road objects, using data on their positions to emit tailored light beams that enhance detection probability, with adaptive adjustments based on object movement and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional headlamps are used to illuminate the road, then the driver can perceive objects, but the camera-based detection system cannot reliably detect objects in low-light conditions
Solution Approach 1:
The patent applies local quality by creating customized light beams with specific photometric characteristics tailored to illuminate different types of road objects (pedestrians, cyclists, vehicles, animals) differently. Each object type receives illumination optimized for its reflective properties and detection requirements, rather than using uniform headlamp illumination for all objects.
Solution Approach 2:
The system changes illumination parameters (intensity, distribution, spectral characteristics) based on detected object types and environmental conditions. The control unit adjusts light beam parameters dynamically to maximize camera detection capability while accounting for object reflectivity, distance, and scene illumination levels.
2Reliability
If the lighting system emits strong light beams to improve object detection, then detection probability increases, but energy consumption increases
Solution Approach 1:
The system applies partial action by illuminating only specific zones and object types rather than uniformly illuminating the entire road scene. The control unit activates lighting only when and where needed based on camera detection, object type classification, and environmental conditions, reducing unnecessary energy consumption while maintaining detection reliability.
Solution Approach 2:
The lighting system operates dynamically, adjusting illumination intensity and activation based on real-time detection data, object distance, object type, and ambient light conditions. The system increases illumination only when detection probability would otherwise be insufficient, rather than maintaining constant high-energy illumination.
3Adaptability or versatility
If the lighting system uses fixed emission zones and photometries, then the system is simple to control, but it cannot adapt to different object types and detection requirements
Solution Approach 1:
The control unit serves multiple functions: it processes camera detection data, classifies object types, determines appropriate illumination strategies, and controls the lighting system. This multi-functionality allows the system to adapt to different object types without requiring separate specialized control systems for each function.
Solution Approach 2:
The system uses feedback from the camera-based detection system to continuously adjust lighting parameters. The control unit receives detection data about object position, type, and distance, then adjusts illumination accordingly, creating a closed-loop system that adapts to changing conditions while maintaining manageable complexity through algorithmic control.
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
The solution significantly increases the probability of detecting road objects using camera-based systems, ensuring safer autonomous driving by providing optimized illumination tailored to the types and positions of objects, even in low-light conditions.
Implementation Method 1
the lighting system emit light beams whose emission zones on the road and photometries in these emission zones
Data Source
AI summary
A method for controlling a lighting system for a motor vehicle having a system for detecting objects includes defining at least one set of detectable types of objects and acquiring, by means of the detection system, a set of data relating to the position of a plurality of objects of types belonging to the set. Also included is determining a lighting model which is associated with said set and defines at least one zone referred to as the initial detection zone, and a light pattern referred to as the initial light pattern, of a light beam intended to be emitted in the initial detection zone. The lighting system is controlled in order to emit a light beam having the initial light pattern in the initial detection zone of said lighting model.