Neuroevolution of an automobile crash warning system. - Kenneth O. Stanley; Nate Kohl; Rini Sherony; Risto Miikkulainen (GECCO, 2005)

Evolving a real-world vehicle warning system. - Nate Kohl; Kenneth O. Stanley; Risto Miikkulainen; Michael E. Samples; Rini Sherony (GECCO, 2006)

Automatic categorization-based multi-stage pedestrian detection. - Kai Yang 009; Eliza Yingzi Du; Pingge Jiang; Yaobin Chen; Rini Sherony; Hiroyuki Takahashi (ITSC, 2012)

A new approach of visual clutter analysis for pedestrian detection. - Kai Yang 009; Eliza Yingzi Du; Edward J. Delp; Pingge Jiang; Yaobin Chen; Rini Sherony; Hiroyuki Takahashi (ITSC, 2013)

Pilot study on pedestrian step frequency in naturalistic driving environment. - Renran Tian; Eliza Yingzi Du; Kai Yang 009; Pingge Jiang; Feng Jiang; Yaobin Chen; Rini Sherony; Hiroyuki Takahashi (Intelligent Vehicles Symposium, 2013)

An Extreme Learning Machine-based pedestrian detection method. - Kai Yang 009; Eliza Y. Du; Edward J. Delp; Pingge Jiang; Feng Jiang; Yaobin Chen; Rini Sherony; Hiroyuki Takahashi (Intelligent Vehicles Symposium, 2013)

Radar Scattering Design Elements for a Pre-Collision System Surrogate Target. - William Buller; Brian Wilson; James Ebling; Line van Nieuwstadt; Rini Sherony; David J. LeBlanc (VTC Spring, 2013)

Mannequin development for pedestrian pre-Collision System evaluation. - Qiang Yi; Stanley Y. P. Chien; Jason Brink; Yaobin Chen; Lingxi Li 001; David H. Good; Chi-Chih Chen; Rini Sherony (ITSC, 2014)

Estimation of the vehicle-pedestrian encounter/conflict risk on the road based on TASI 110-car naturalistic driving data collection. - Renran Tian; Lingxi Li 001; Kai Yang 009; Stanley Y. P. Chien; Yaobin Chen; Rini Sherony (Intelligent Vehicles Symposium, 2014)

Single-Variable Scenario Analysis of Vehicle-Pedestrian Potential Crash Based on Video Analysis Results of Large-Scale Naturalistic Driving Data. - Renran Tian; Lingxi Li 001; Kai Yang 009; Feng Jiang; Yaobin Chen; Rini Sherony (HCI (17), 2015)

Analysis of the Braking Behaviour in Pedestrian Automatic Emergency Braking. - Alberto Lopez Rosado; Rini Sherony; Stanley Y. P. Chien; Lingxi Li 001; Qiang Yi; Yaobin Chen (ITSC, 2015)

Pedestrian and Bicyclist Crash Scenarios in the U.S. - Rini Sherony; Chong Zhang (ITSC, 2015)

Potential of intersection driver assistance systems to mitigate straight crossing path crashes using U.S. nationally representative crash data. - John M. Scanlon; Kristofer D. Kusano; Rini Sherony; Hampton C. Gabler (Intelligent Vehicles Symposium, 2015)

Driver lane keeping behavior in normal driving using 100-car naturalistic driving study data. - Taylor Johnson; Rini Sherony; Hampton C. Gabler (Intelligent Vehicles Symposium, 2016)

Preliminary potential crash prevention estimates for an Intersection Advanced Driver Assistance System in straight crossing path crashes. - John M. Scanlon; Rini Sherony; Hampton C. Gabler (Intelligent Vehicles Symposium, 2016)

Clothing color of surrogate Bicyclist for Pre-Collision System evaluation. - Qiang Yi; Stanley Y. P. Chien; Li Fu; Lingxi Li 001; Yaobin Chen; Rini Sherony; Hiroyuki Takahashi (Intelligent Vehicles Symposium, 2017)

Surrogate Bicycle Design for Millimeter-Wave Automotive Radar Pre-Collision Testing. - Domenic Belgiovane; Chi-Chih Chen; Stanley Y. P. Chien; Rini Sherony (IEEE Trans. Intell. Transp. Syst., 2017)

Certainty and Critical Speed for Decision Making in Tests of Pedestrian Automatic Emergency Braking Systems. - Alberto Lopez Rosado; Stanley Y. P. Chien; Lingxi Li 001; Qiang Yi; Yaobin Chen; Rini Sherony (IEEE Trans. Intell. Transp. Syst., 2017)

Earliest Sensor Detection Opportunity for Left Turn Across Path Opposite Direction Crashes. - John M. Scanlon; Rini Sherony; Hampton Clay Gabler (IEEE Trans. Intell. Veh., 2017)

Data Collection and Processing Methods for the Evaluation of Vehicle Road Departure Detection Systems. - Dan Shen; Qiang Yi; Lingxi Li 001; Stanley Y. P. Chien; Yaobin Chen; Rini Sherony (Intelligent Vehicles Symposium, 2018)

Models of Driver Acceleration Behavior Prior to Real-World Intersection Crashes. - John M. Scanlon; Rini Sherony; Hampton C. Gabler (IEEE Trans. Intell. Transp. Syst., 2018)

Infrared Reflectance Requirements of Metal Guardrail Surrogates for the Evaluation of Vehicle Road Departure Mitigation Systems. - Lin Li; Abir Saha; Seeta Ram Pandey; Yaobin Chen; Stanley Y. P. Chien; Rini Sherony (ITSC, 2019)

24 GHz and 77 GHz Radar Characteristics of Metal Guardrail for the Development of Metal Guardrail Surrogate for Road Departure Mitigation System Testing. - Jun Lin 009; Stanley Y. P. Chien; Yaobin Chen; Chi-Chih Chen; Rini Sherony (ITSC, 2019)

A Novel Scoring Method for Pedestrian Automatic Emergency Braking Systems. - Keyu Ruan; Lingxi Li 001; Qiang Yi; Stanley Y. P. Chien; Renran Tian; Yaobin Chen; Rini Sherony (SOLI, 2019)

Test Scenarios Development and Data Collection Methods for the Evaluation of Vehicle Road Departure Prevention Systems. - Dan Shen; Qiang Yi; Lingxi Li 001; Renran Tian; Stanley Y. P. Chien; Yaobin Chen; Rini Sherony (IEEE Trans. Intell. Veh., 2019)

Development of Surrogate Grass for the Evaluation of Vehicle Road Departure Mitigation Systems. - Stanley Y. P. Chien; Jue Zhou; Qiang Yi; Seeta Ram Pandey; Abir Saha; Jun Lin 009; Yaobin Chen; Rini Sherony (ITSC, 2020)

MIT DriveSeg (Manual) Dataset. - Li Ding 010; Jack Terwilliger; Rini Sherony; Bryan Reimer; Lex Fridman 001 (IEEE DataPort, 2020)

Perceptual Evaluation of Driving Scene Segmentation. - Li Ding 010; Rini Sherony; Bruce Mehler; Bryan Reimer (IV, 2021)

Detection of E-scooter Riders in Naturalistic Scenes. - Kumar Apurv; Renran Tian; Rini Sherony (CoRR, 2021)

PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car. - Tina Chen; Renran Tian; Yaobin Chen; Joshua E. Domeyer; Heishiro Toyoda; Rini Sherony; Taotao Jing; Zhengming Ding (CoRR, 2021)

Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data. - Jackie Ayoub; Zifei Wang; Meitang Li; Huizhong Guo; Rini Sherony; Shan Bao; Feng Zhou 003 (UI, 2022)

InAction: Interpretable Action Decision Making for Autonomous Driving. - Taotao Jing; Haifeng Xia; Renran Tian; Haoran Ding; Xiao Luo 002; Joshua E. Domeyer; Rini Sherony; Zhengming Ding (ECCV (38), 2022)

SceNDD: A Scenario-based Naturalistic Driving Dataset. - Avinash Prabu; Nitya Ranjan; Lingxi Li 001; Renran Tian; Stanley Y. P. Chien; Yaobin Chen; Rini Sherony (ITSC, 2022)

A Wearable Data Collection System for Studying Micro-Level E-Scooter Behavior in Naturalistic Road Environment. - Avinash Prabu; Dan Shen; Renran Tian; Stanley Y. P. Chien; Lingxi Li 001; Yaobin Chen; Rini Sherony (CoRR, 2022)

Risk assessment and mitigation of e-scooter crashes with naturalistic driving data. - Avinash Prabu; Renran Tian; Stanley Y. P. Chien; Lingxi Li 001; Yaobin Chen; Rini Sherony (CoRR, 2022)

Value of Temporal Dynamics Information in Driving Scene Segmentation. - Li Ding 010; Jack Terwilliger; Rini Sherony; Bryan Reimer; Lex Fridman 001 (IEEE Trans. Intell. Veh., 2022)

A systematic review of safety-critical scenarios between automated vehicles and vulnerable road users. - Aditya Deshmukh; Zifei Wang; Aaron Gunn; Huizhong Guo; Rini Sherony; Fred Feng; Brian Lin; Shan Bao; Feng Zhou 003 (CoRR, 2023)

A New Scoring Method for the Evaluation of Vehicle Road Departure Detection Systems. - Dan Shen; Lingxi Li 001; Stanley Y. P. Chien; Yaobin Chen; Rini Sherony (CoRR, 2023)

An Efficient Probabilistic Solution to Mapping Errors in LiDAR-Camera Fusion for Autonomous Vehicles. - Dan Shen; Zhengming Zhang 002; Renran Tian; Yaobin Chen; Rini Sherony (CoRR, 2023)

Attention-Based Interrelation Modeling for Explainable Automated Driving. - Zhengming Zhang 002; Renran Tian; Rini Sherony; Joshua E. Domeyer; Zhengming Ding (IEEE Trans. Intell. Veh., 2023)

Intent-Guided Trajectory Prediction for E-Scooter Riders and Bicyclists. - Zhengming Zhang 002; Zhengming Ding; Yaobin Chen; Stanley Y. P. Chien; Lingxi Li 001; Rini Sherony; Joshua E. Domeyer; Renran Tian (ITSC, 2024)

E-scooter Crash Data Analysis towards E-scooter Automatic Emergency Braking System Design and Validation for Automated Vehicles. - Diwas Thapa; Syed Mohammad Adil; Lingxi Li 001; Sabyasachee Mishra; Renran Tian; Stanley Y. P. Chien; Yaobin Chen; Rini Sherony (IV, 2024)