11 citations · 20 across the 9 of their papers we have counts for
10 papers
An Efficient Probabilistic Solution to Mapping Errors in LiDAR-Camera Fusion for Autonomous Vehicles
Dan Shen, Zhengming Zhang, Renran Tian +2
LiDAR-camera fusion is one of the core processes for the perception system of current automated driving systems. The typical sensor fusion process includes a list of coordinate tra…
A New Scoring Method for the Evaluation of Vehicle Road Departure Detection Systems
Dan Shen, Lingxi Li, Stanley Chien +2
Road departure detection systems (RDDSs) for eliminating unintentional road departure collisions have been developed and equipped on some commercial vehicles in recent years. In or…
A systematic review of safety-critical scenarios between automated vehicles and vulnerable road users
Aditya Deshmukh, Zifei Wang, Aaron Gunn +6
Automated vehicles (AVs) are of great potential in reducing crashes on the road. However, it is still complicated to eliminate all the possible accidents, especially those with vul…
Risk assessment and mitigation of e-scooter crashes with naturalistic driving data
Avinash Prabu, Zhengming Zhang, Renran Tian +4
Recently, e-scooter-involved crashes have increased significantly but little information is available about the behaviors of on-road e-scooter riders. Most existing e-scooter crash…
SceNDD: A Scenario-based Naturalistic Driving Dataset
Avinash Prabu, Nitya Ranjan, Lingxi Li +4
In this paper, we propose SceNDD: a scenario-based naturalistic driving dataset that is built upon data collected from an instrumented vehicle in downtown Indianapolis. The data co…
A Wearable Data Collection System for Studying Micro-Level E-Scooter Behavior in Naturalistic Road Environment
Avinash Prabu, Dan Shen, Renran Tian +4
As one of the most popular micro-mobility options, e-scooters are spreading in hundreds of big cities and college towns in the US and worldwide. In the meantime, e-scooters are als…
Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data
Jackie Ayoub, Zifei Wang, Meitang Li +4
Advanced driver assistance systems (ADAS) are designed to improve vehicle safety. However, it is difficult to achieve such benefits without understanding the causes and limitations…
PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions
Taotao Jing, Tina Chen, Renran Tian +5
Accurately modeling pedestrian intention and understanding driver decision-making processes are critical for the development of safe and socially aware autonomous driving systems.…
Detection of E-scooter Riders in Naturalistic Scenes
Kumar Apurv, Renran Tian, Rini Sherony
E-scooters have become ubiquitous vehicles in major cities around the world.The numbers of e-scooters keep escalating, increasing their interactions with other cars on the road. No…
Value of Temporal Dynamics Information in Driving Scene Segmentation
Li Ding, Jack Terwilliger, Rini Sherony +2
Semantic scene segmentation has primarily been addressed by forming representations of single images both with supervised and unsupervised methods. The problem of semantic segmenta…