30 citations · 127 across the 33 of their papers we have counts for
7 papers · 1 filter
Cooperative Probabilistic Trajectory Forecasting under Occlusion
Anshul Nayak, Azim Eskandarian
Perception and planning under occlusion is essential for safety-critical tasks. Occlusion-aware planning often requires communicating the information of the occluded object to the…
The Impact of Different Backbone Architecture on Autonomous Vehicle Dataset
Ning Ding, Azim Eskandarian
Object detection is a crucial component of autonomous driving, and many detection applications have been developed to address this task. These applications often rely on backbone a…
SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving
Ning Ding, Ce Zhang, Azim Eskandarian
Object detection (OD) is crucial to autonomous driving. On the other hand, unknown objects, which have not been seen in training sample set, are one of the reasons that hinder auto…
Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty
Anshul Nayak, Azim Eskandarian, Zachary Doerzaph +1
One of the fundamental challenges in the prediction of dynamic agents is robustness. Usually, most predictions are deterministic estimates of future states which are over-confident…
Probabilistic RRT Connect with intermediate goal selection for online planning of autonomous vehicles
Darshit Patel, Azim Eskandarian
Rapidly Exploring Random Trees (RRT) is one of the most widely used algorithms for motion planning in the field of robotics. To reduce the exploration time, RRT-Connect was introdu…
AutoVRL: A High Fidelity Autonomous Ground Vehicle Simulator for Sim-to-Real Deep Reinforcement Learning
Shathushan Sivashangaran, Apoorva Khairnar, Azim Eskandarian
Deep Reinforcement Learning (DRL) enables cognitive Autonomous Ground Vehicle (AGV) navigation utilizing raw sensor data without a-priori maps or GPS, which is a necessity in hazar…
Deep Reinforcement Learning for Autonomous Ground Vehicle Exploration Without A-Priori Maps
Shathushan Sivashangaran, Azim Eskandarian
Autonomous Ground Vehicles (AGVs) are essential tools for a wide range of applications stemming from their ability to operate in hazardous environments with minimal human operator…