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Project

#113 Including the Human in On-Demand Autonomy

Principal Investigator
Raj Rajkumar
Status
Completed
Start Date
Jan. 1, 2014
End Date
Dec. 31, 2014
Project Type
Research Advanced
Grant Program
MAP-21 TSET - Tier 1 (2012 - 2016)
Grant Cycle
2014 TSET UTC
Visibility
Public

Abstract

Our project goal is to study how a human driver and a vehicle equipped with ADAS can interact and make driving safer. The General Motors-CMU Autonomous Driving Collaborative Research Laboratory at CMU has developed an autonomous 2011 Cadillac SRX (shown). Full autonomy will eventually lead to significant reductions in accidents, injuries and fatalities. In the interim, the human driver will be in the loop even if the vehicle is semi-autonomous (as in cruise control and adaptive cruise control) or occasionally autonomous “on-demand” (as in automatic parallel parking). Driver-friendly (visual, aural and tactile) alerts will be generated based on the severity of obstacles in the environment detected by the fusion of varied sensory inputs. In cluttered environments, bad weather, and poor road conditions, the vehicle will warn the user to take control and also attempt to enforce a lower speed on the vehicle. Proper configurations and policies will need to be defined. The driver must also be able to seamlessly switch back and forth between autonomous and manual driving modes.
Description
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Timeline
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Strategic Description / RD&T

    
Deployment Plan

    
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Expected Outcomes/Impacts

    
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Expected Outputs

    

    
TRID

    


    
Individuals Involved

    

        
            

                Email
                Name
                Affiliation
                Role
                Position
            

        
        
            
                

                    rajkumar@cmu.edu
                    Rajkumar, Raj
                    ECE
                    PI
                    Faculty - Tenured
                

            
    


    
Budget


    
    
Amount of UTC Funds Awarded
 $50000.00
    
Total Project Budget (from all funding sources)
 $50000.00

    
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