3 citations · 4 across the 5 of their papers we have counts for
5 papers
Reinforcement Learning for Predicting Traffic Accidents
Injoon Cho, Praveen Kumar Rajendran, Taeyoung Kim +1
As the demand for autonomous driving increases, it is paramount to ensure safety. Early accident prediction using deep learning methods for driving safety has recently gained much…
A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective
Praveen Kumar Rajendran, Quoc-Vinh Lai-Dang, Luiz Felipe Vecchietti +1
Identifying the camera pose for a given image is a challenging problem with applications in robotics, autonomous vehicles, and augmented/virtual reality. Lately, learning-based met…
RelMobNet: End-to-end relative camera pose estimation using a robust two-stage training
Praveen Kumar Rajendran, Sumit Mishra, Luiz Felipe Vecchietti +1
Relative camera pose estimation, i.e. estimating the translation and rotation vectors using a pair of images taken in different locations, is an important part of systems in augmen…
Sensing accident-prone features in urban scenes for proactive driving and accident prevention
Sumit Mishra, Praveen Kumar Rajendran, Luiz Felipe Vecchietti +1
In urban cities, visual information on and along roadways is likely to distract drivers and lead to missing traffic signs and other accident-prone (AP) features. To avoid accidents…
Socially acceptable route planning and trajectory behavior analysis of personal mobility device for mobility management with improved sensing
Sumit Mishra, Praveen Kumar Rajendran, Dongsoo Har
In urban cities, with increasing acceptability of shared spaces used by pedestrians and personal mobility devices (PMDs), there is need for pragmatic socially ac-ceptable path plan…