Vehicle-mounted cameras operate in challenging conditions where image quality is compromised by thermal stress (>70°C in direct sunlight), vibration from road surfaces, and extreme lighting variations between tunnel entrances and bright daylight. These environmental factors can lead to sensor degradation, motion blur, and loss of critical visual information needed for driver assistance systems.

The fundamental challenge lies in maintaining consistent image quality across diverse operating conditions while meeting the size, power, and cost constraints of automotive applications.

This page brings together solutions from recent research—including thermoelectric cooling systems for sensor temperature management, vibration compensation algorithms, multi-camera fusion techniques, and adaptive exposure control. These and other approaches focus on delivering reliable, high-quality video feeds that support both driver assistance features and autonomous driving capabilities.

1. Image Enhancement System for Vehicle Cameras Using GAN-Based Cross-Vehicle Training

Huajie ZENG, 2022

Enhancing image quality from vehicle cameras to improve reliability and safety of autonomous driving. It uses a GAN model trained with images from other vehicles to enhance images from the target vehicle's camera. When the target vehicle captures a low-quality image, it uses the trained GAN to enhance it.

2. Camera System with Light-Shielding Hood and Dual Image Capture for Distortion Correction

SONY SEMICONDUCTOR SOLUTIONS CORPORATION, 2022

Vehicle camera system that provides high quality images while shielding direct sunlight and glare from the lens. The camera has a hood that limits the incident angle of light to the lens. It also captures two images, a high-resolution one for the rear view monitor and a smaller one for other displays. The hood shields light outside the smaller image area. This allows shielding without protruding beyond vehicle limits. The camera corrects distortion based on detected image height changes due to temperature.

US20220148138A1-patent-drawing

3. Video Processing System with Integrated Video Collector, Analysis Module, DSP, FPGA, Memory, Encoding, and Transmission Components

HEBEI YIBO WEICHUANG ELECTRONIC TECH CO LTD, HEBEI YIBO WEICHUANG ELECTRONIC TECHNOLOGY CO LTD, 2022

Video processing system with automatic analysis and processing of video images. The system has a video collector, video analysis module, DSP processor, FPGA chip, video memory, encoding/decoding module, and video transmission unit. The video collector gathers footage, the analysis module enhances quality, DSP processes further, FPGA compresses, memory stores, encoding converts, and transmission sends the improved video. The system automatically analyzes and improves video sharpness, noise, color, etc.

4. Line Scan Camera System with Speed-Synchronized Line Frequency Control for Moving Object Imaging

Hangzhou Hikrobot Technology Co., Ltd, 2021

Device, system, and method to capture non-deformed images from a moving object like a vehicle using a line scan camera. It measures the object's speed and sets the line frequency of the camera to match, preventing image stretch or compression. A control module triggers camera capture at the matching line frequency.

5. Vehicle Imaging System with Transflective Mirror-Integrated Lens Units

SMR Patents S.à.r.l., 2021

Imaging system for vehicles that uses transflective mirrors to capture high quality images with fewer components compared to conventional camera systems. The system has one or more lens units to focus light onto an image sensor. Transflective mirrors are placed between the lens units and sensor to reflect light perpendicularly onto the sensor. This allows using a single image sensor instead of multiple cameras while still capturing all-around views. The transflective mirrors can be switchable mirrors that can toggle between reflective and transparent states.

6. High Definition Video Monitoring System with Optics and Electronics-Based Distortion Correction

CHANGZHOU COLLEGE INF TECH, CHANGZHOU COLLEGE OF INFORMATION TECHNOLOGY, 2016

An intelligent high definition video monitoring system that addresses image distortion issues in high resolution video by correcting for defects using optics and electronics. The system has components like a camera, data processing, correction modules, and remote monitoring. The camera follows the video signal and captures distorted images. The processing module receives the signal, corrects distortion, and sends it to remote monitoring. This allows using high resolution video over networks without bandwidth limitations by storing and transmitting compressed video locally. The correction reduces issues like blurring, darkness, brightness, and uneven concentration.

CN105472340A-patent-drawing

7. Vehicle Video Event Data Recorder with Selective Brightness and Contrast Filtering for Headlight-Induced Overexposure

CENTER FOR INTEGRATED SMART SENSORS FOUNDATION, CT INTEGRATED SMART SENSORS FOUNDATION, 2015

Video event data recorder (VEDR) for vehicles that improves visibility of recorded footage when the vehicle is driving at night with headlights on. The VEDR uses filtering techniques to adjust brightness and contrast of specific areas in captured images to prevent overexposure from headlights and improve visibility of objects like license plates. The filtering is done using devices like transparent displays or polarizing filters that can be selectively positioned over bright areas. The VEDR analyzes the images to detect bright objects, then filters them to lower brightness. This ensures clearer images with uniform brightness when the camera captures headlight-illuminated scenes.

8. Image Enhancement System Utilizing Velocity and Location Data from Video Feeds of Moving Vehicles

Xerox Corporation, 2015

Enhancing images from video feeds of moving vehicles to improve quality and accuracy. The technique uses the vehicle's velocity and location to enhance the captured images. The system extracts a still image from video, detects the vehicle's location, calculates the vehicle's velocity in pixel coordinates, and then enhances the image using velocity-aware techniques like deblurring or superresolution. This compensates for motion blur and improves resolution for vehicles moving at speed.

Get Full Report

Access our comprehensive collection of 8 documents related to this technology