NDLI: Measurement of autonomous operation

Please wait, while we are loading the content...

Visual metrics for the evaluation of sensor data quality in outdoor perception

Planning in logistics: a survey

Modeling and simulation analysis types for sustainable manufacturing

A multi-vehicle testbed for underwater motion coordination

Evaluating intelligent systems with performance uncertainty in large test spaces

Detecting humans under partial occlusion using Markov logic networks

An indoor study to evaluate a mixed-reality interface for unmanned aerial vehicle operations in near earth environments

6-DOF pose estimation: the need for standardization in industrial applications

Evaluating hierarchical planner performance through field experiments and simulation

Evaluation criteria for appearance based maps

Co-X panel discussion

Proposals for New UGV, UMV, UAV, and HRI standards for rescue robots

Metrics for mixed pallet stacking

Metrics for the cost of proprietary information exchange languages in intelligent systems

Measurement of autonomous operation

The multi-relationship evaluation design framework: creating evaluation blueprints to assess advanced and intelligent technologies

Transitional or partnership human and robot collaboration for automotive assembly

A network-based approach for assessing co-operating manned and unmanned systems (MUMS)

Flexible robotic assembly in dynamic environments

Evaluating the performance of unmanned ground vehicle water detection

Evaluation of maps using fixed shapes: the fiducial map metric

Metric selection for evaluating human supervisory control of unmanned vehicles

Mixed pallet stacking: an overview and summary of the 2010 PerMIS special session

Component models in robotics software

DCF® a JAUS and TENA compliant agent-based framework for UAS performance evaluation

Implementation and application of maximum likelihood reliability estimation from subsystem and full system tests

Performance assessment of face recognition using super-resolution

Lessons learned in evaluating DARPA advanced military technologies

Smart sensing for real-time pose estimation, assembly, and inspection using 3D laser scanning systems

Autonomous mobility for areas with large numbers of pedestrians

The platform- and hardware-in-the-loop simulator for multi-robot cooperation

Performance measures framework for unmanned systems (PerMFUS): models for contextual metrics

Benchmarking production system, process energy, and facility energy performance using a systems approach

Testing and evaluation aspects of integration of unmanned air systems into the national air space

"What do you do with a drunken robot?": in situ performance measurements of intelligent mobile robots

Inexpensive ground truth and performance evaluation for human tracking using multiple laser measurement sensors

Modified Cooper Harper scales for assessing unmanned vehicle displays

Dynamic performance evaluation of 6D laser tracker sensor

Observations on single operator performance controlling two UGVs in a field assessment

Towards evaluating world modeling for autonomous navigation in unstructured and dynamic environments

Towards standardization of metrics for evaluation of artificial visual attention

Complexity measures for distributed assembly tasks

Comprehensive standard test suites for the performance evaluation of mobile robots

Development of performance metrics and test methods for first responder location and tracking systems

Using the "negative attitude toward robots scale" with telepresence robots

Methodology for evaluating static six-degree-of-freedom (6DoF) perception systems

Assessing unmanned ground vehicle tactical behaviors performance

Performance evaluation procedure for vision based object feature extraction algorithms

Advanced sensing towards improved forklift safety

Towards a standardized test for intelligent wheelchairs

Automated gross and sub-pixel registration accuracy of visible and thermal imagery

Teams organization and performance analysis in autonomous human-robot teams

Benchmarks, performance evaluation and contests for 3D shape retrieval

Evaluation of ultra-wideband technology for use in 3D locating systems

Intentions and intention recognition in intelligent agents

Measurement of autonomous operation

Content Provider	ACM Digital Library
Author	Hamel, W.
Abstract	While robotic systems and the field of Artificial Intelligence (AI) have been funded through the Department Of Defense (DoD) and Industry for decades, it was not until recent years that the combination of these two technologies has made truly significant advances in the area of Autonomous Operation (AO) systems. Through the efforts of the Defense Advanced Research Project Agency (DARPA) challenges in 2004--2007 timeframe, the academic and industrial communities came together to overcome some significant hurdles for the development of AO ground vehicles in both the rural and desert environments (DARPA Grand Challenge 2004--2005) and the urban environment (DARPA Urban Challenge 2007). Although no AO vehicle succeeded in the 2004 event, the following year four systems completed the 132 mile course within the 10 hour time limit. The winner of the 2005 event (The Stanley from Stanford University) designed an autonomous (learning system) vehicle that fused five Lidars, Radar, and an Electro Optic sensor in addition to the waypoint GPS (provided by DARPA) and an internal Inertial Measurement Unit (IMU) system to produce the situational awareness required to meet the challenge. The team took approximately one year "training" the perception and planning sections of the software to compensate for various types of terrain and maneuvering. It was through extensive planning, meticulous design, and thorough testing that the final goal was achieved and it will take a much greater level of effort for DoD to realize a similar capability in the air environment. In the Air domain, DoD will not have the luxury of releasing autonomous vehicles (without significant constraints) within an operationally relevant environment (like the National Air Space (NAS)) until a very high level of confidence is achieved in their ability to perform the mission while providing a level of safety commensurate with manned operation. For DoD to succeed, it is imperative that we provide the Unmanned Air System (UAS) development community the tools required to assess all of the engineering components necessary for transition of AO vehicles into the NAS and operational environments. These tools should include a model of the required environments (emulated with access to standardized hardware/software in the loop), standard set of operational test procedures (with desired metrics), and a framework through which individual components can be assessed. It is ironic that the success of AO unmanned systems will require a structured collaborative learning process within the human domain for our goals to be realized.
Starting Page	112
Ending Page	118
Page Count	7
File Format	PDF
ISBN	9781450302906
DOI	10.1145/2377576.2377598
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-09-28
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Automated decision aid (ada) Autonomous control Unmanned aerial system Autonomous operations C4isr
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in