Trends in camera based Automotive Driver Assistance Systems (ADAS)

Dabral, Shashank; Kamath, Sanmati; Appia, Vikram; Mody, Mihir; Zhang, Buyue; Batur, Umit

doi:10.1109/mwscas.2014.6908613

Cited by 45 publications

(14 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some manufacturers (e.g., STMicroelectronics, On Semiconductor) offer special HDR image sensors They are also known as wide dynamic range (WDR) sensors since they produce images with the dynamic range up to 132 dB or 22 bits [ 22 , 23 ]. Such ultra-high values are reached using different techniques including multiple exposures or split pixel technology supported by tone mapping and automatic HDR image processing even inside the imaging chip [ 2 , 22 , 23 , 24 ]. Using the multiple exposure technique the HDR image data is constructed by combination of three exposures (integration time) for each pixel.…”

Section: New Class Of Hdr Image Sensorsmentioning

confidence: 99%

“…Typical ADAS facilities help drivers in several aspects: automatic parking [ 1 ], surround-view, reverse driving, avoiding lane departure with detection of driver tiredness. Moreover, they offer many safety critical facilities like pedestrian detection, road sign detection automatic braking [ 2 , 3 ], and many others. Most of the ADAS solutions collect information about the car surroundings using cameras.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Highly Efficient Lossless Coding for High Dynamic Range Red, Clear, Clear, Clear Image Sensors

Pawlowski

Piniarski

Dąbrowski

2021

Sensors

View full text Add to dashboard Cite

In this paper we present a highly efficient coding procedure, specially designed and dedicated to operate with high dynamic range (HDR) RCCC (red, clear, clear, clear) image sensors used mainly in advanced driver-assistance systems (ADAS) and autonomous driving systems (ADS). The coding procedure can be used for a lossless reduction of data volume under developing and testing of video processing algorithms, e.g., in software in-the-loop (SiL) or hardware in-the-loop (HiL) conditions. Therefore, it was designed to achieve both: the state-of-the-art compression ratios and real-time compression feasibility. In tests we utilized FFV1 lossless codec and proved efficiency of up to 81 fps (frames per second) for compression and 87 fps for decompression performed on a single Intel i7 CPU.

show abstract

Section: New Class Of Hdr Image Sensorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Highly Efficient Lossless Coding for High Dynamic Range Red, Clear, Clear, Clear Image Sensors

Pawlowski

Piniarski

Dąbrowski

2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Applications of DSRC help for the implementation of secure communication between RSU and OBU of a CV environment using V2I and V2V [29]. b) Advanced Driver Assistant (ADAS): The implementation of ADAS technologies is based on a vision/camera system, with several of researches have discussed regarding the implementation of camera-based ADAS [30], [31]. Combination of cameras with sensors for surround-view of safety vision detection applications such as to detect pedestrians and automatic braking functionalities have improved in recent years.…”

Section: A Physical Layermentioning

confidence: 99%

Conceptual Model for Connected Vehicles Safety and Security using Big Data Analytics

Razali¹,

Shamsaimon²,

Wook³

et al. 2020

IJACSA

View full text Add to dashboard Cite

The capability of Connected Vehicles (CVs) connecting to a nearby vehicle, surrounding infrastructure and cyberspace presents a high risk in the aspect of safety and security of the CV and others. Data volume generated from the sensors and infrastructure in CVs environment are enormous. Thus, CVs implementations require a real-time big data processing and analytics to detect any anomaly in the CVs's environment which are physical layer, network layer and application layer. CVs are exposed to various vulnerabilities associated with exploitations or malfunctions of the components in each layer that could result in various safety and security event such as congestion and collision. The safety and security risks added an extra layer of required protection for the CVs implementation that need to be studied and refined. To address this gap, this research aims to determine the basic components of safety and security for CVs implementation and propose a conceptual model for safety and security in CVs by applying the machine learning and deep learning techniques. The proposed model is highly correlated to safety and security and could be applied in congestion and collision prediction.

show abstract

“…The authors of [ 5 ] proposed a surround view camera synthesis algorithm, but most attention has been paid to the color correction of the system only to makes the four images smoother for humans to see. The authors of [ 6 ] implemented the system mentioned in [ 5 ] on an emended system board. In the same year, The authors of [ 7 ] also gave a surrounding view camera solution for embedded systems, mainly focusing on the geometric and photometric alignment.…”

Section: Related Workmentioning

confidence: 99%

A Robust Method for Detecting Parking Areas in Both Indoor and Outdoor Environments

Zong

Chen

2018

Sensors

View full text Add to dashboard Cite

Although an automatic parking system has been installed in many vehicles recently, it is still hard for the system to confirm by itself whether a vacant parking area truly exists or not. In this paper, we introduced a robust vision-based vacancy parking area detecting method for both indoor and outdoor environments. The main contribution of this paper is given as follows. First, an automatic image stitching method is proposed. Secondly, the problem of environment illuminating change and line color difference is considered and solved. Thirdly, the proposed algorithm is insensitive to the shadow and scene diversity, which means the detecting result satisfies most of the environment. Finally, a vehicle model is considered for tracking and reconfirming the detecting results to eliminate most of the false positives.

show abstract

Trends in camera based Automotive Driver Assistance Systems (ADAS)

Cited by 45 publications

References 1 publication

Highly Efficient Lossless Coding for High Dynamic Range Red, Clear, Clear, Clear Image Sensors

Highly Efficient Lossless Coding for High Dynamic Range Red, Clear, Clear, Clear Image Sensors

Conceptual Model for Connected Vehicles Safety and Security using Big Data Analytics

A Robust Method for Detecting Parking Areas in Both Indoor and Outdoor Environments

Contact Info

Product

Resources

About