activity
20192022
most citedAutomotive Collision Risk Estimation Under Cooperative Sensing

9 citations · 9 across the 3 of their papers we have counts for

collaborators

7 papers

eess.SP2022

Carrier-phase and IMU based GNSS Spoofing Detection for Ground Vehicles

Zachary Clements, James E. Yoder, Todd E. Humphreys

This paper develops, implements, and validates a powerful single-antenna carrier-phase-based test to detect Global Navigation Satellite Systems (GNSS) spoofing attacks on ground ve…

eess.SP2022

Low-Cost Inertial Aiding for Deep-Urban Tightly-Coupled Multi-Antenna Precise GNSS

James E. Yoder, Todd E. Humphreys

A vehicular pose estimation technique is presented that tightly couples multi-antenna carrier-phase differential GNSS (CDGNSS) with a low-cost MEMS inertial sensor and vehicle dyna…

eess.SP2020

All-Weather sub-50-cm Radar-Inertial Positioning

Lakshay Narula, Peter A. Iannucci, Todd E. Humphreys

Deployment of automated ground vehicles beyond the confines of sunny and dry climes will require sub-lane-level positioning techniques based on radio waves rather than near-visible…

cs.RO2020

TEX-CUP: The University of Texas Challenge for Urban Positioning

Lakshay Narula, Daniel M. LaChapelle, Matthew J. Murrian +5

A public benchmark dataset collected in the dense urban center of the city of Austin, TX is introduced for evaluation of multi-sensor GNSS-based urban positioning. Existing public…

eess.SP2020

Automotive-Radar-Based 50-cm Urban Positioning

Lakshay Narula, Peter A. Iannucci, Todd E. Humphreys

Deployment of automated ground vehicles (AGVs) beyond the confines of sunny and dry climes will require sub-lane-level positioning techniques based on radio waves rather than near-…

cs.RO20209 cited

Automotive Collision Risk Estimation Under Cooperative Sensing

Daniel LaChapelle, Todd Humphreys, Lakshay Narula +2

This paper offers a technique for estimating collision risk for automated ground vehicles engaged in cooperative sensing. The technique allows quantification of (i) risk reduced du…