30 citations · 127 across the 33 of their papers we have counts for
6 papers · 1 filter
XTENTH-CAR: A Proportionally Scaled Experimental Vehicle Platform for Connected Autonomy and All-Terrain Research
Shathushan Sivashangaran, Azim Eskandarian
Connected Autonomous Vehicles (CAVs) are key components of the Intelligent Transportation System (ITS), and all-terrain Autonomous Ground Vehicles (AGVs) are indispensable tools fo…
Emergency Collision Avoidance and Mitigation Using Model Predictive Control and Artificial Potential Function
Xu Shang, Azim Eskandarian
Although extensive research in emergency collision avoidance has been carried out for straight or curved roads in a highway scenario, a general method that could be implemented for…
EEG-Fest: Few-shot based Attention Network for Driver's Vigilance Estimation with EEG Signals
Ning Ding, Ce Zhang, Azim Eskandarian
A lack of driver's vigilance is the main cause of most vehicle crashes. Electroencephalography(EEG) has been reliable and efficient tool for drivers' drowsiness estimation. Even th…
X-CAR: An Experimental Vehicle Platform for Connected Autonomy Research Powered by CARMA
Goodarz Mehr, Prasenjit Ghorai, Ce Zhang +4
Autonomous vehicles promise a future with a safer, cleaner, more efficient, and more reliable transportation system. However, the current approach to autonomy has focused on buildi…
Uncertainty estimation of pedestrian future trajectory using Bayesian approximation
Anshul Nayak, Azim Eskandarian, Zachary Doerzaph
Past research on pedestrian trajectory forecasting mainly focused on deterministic predictions which provide only point estimates of future states. These future estimates can help…
A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception
Ce Zhang, Azim Eskandarian
Reliable object detection using cameras plays a crucial role in enabling autonomous vehicles to perceive their surroundings. However, existing camera-based object detection approac…