Reference Machine Vision for ADAS Functions

Nayak, Abhishek; Rathinam, Sivakumar; Pike, Adam

i

Reference Machine Vision for ADAS Functions

2021-05-01
By Nayak, Abhishek ; Rathinam, Sivakumar ; Pike, Adam

File Language:

English

Details

Creators:

Nayak, Abhishek ; Rathinam, Sivakumar ; Pike, Adam
Corporate Creators:

Safety through Disruption (Safe-D) University Transportation Center (UTC) ; Texas A&M Transportation Institute ; Texas A&M University
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Publication/ Report Number:

04-115
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Research Report
Corporate Publisher:

Safety through Disruption (Safe-D) University Transportation Center (UTC)
Abstract:

Studies have shown that fatalities due to unintentional roadway departures can be significantly reduced if Lane Departure Warning and Lane Keep Assist systems are used effectively. However, these systems have not been widely adopted due, in part, to the lack of suitable standards for pavement markings that enable reliable functionality of sensor systems. The objective of this project is to develop a reference lane detection system that will provide a benchmark for evaluating different lane markings and perception algorithms. The project will also validate the effectiveness of lane markings' material characteristics as well as the vision algorithms through a systematic testing of lane detection algorithms in a robust test/vehicle environment.
Format:

PDF
Funding:

69A3551747115/ Project 04-115
Download URL:

https://rosap.ntl.bts.gov/view/dot/60228/dot_60228_DS1.pdf
File Type:

[PDF - 5.41 MB]
Collection(s):

Artificial Intelligence Deployment Center of Excellence (AI COE) ; University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha-512:1f5de06642fe916489ff9ccf4e70a04ca05a89aa9022c7fba18f1b5aef5e311d480d5115180729d23afad4cc5b455fa9a8ddda5ac2dfbcee01e675d4f758703f

Reference Machine Vision for ADAS Functions [supporting datasets]

Dataset

Studies have shown that fatalities due to unintentional roadway departures can be significantly reduced if Lane Departure Warning and Lane Keep Assist ...

Nayak, Abhishek

;

Rathinam, Sivakumar

File Language:

English

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