2023
Nayak, Anshul, Eskandarian, Azim. "Cooperative Probabilistic Trajectory Prediction under Occlusion". ( accepted at IEEE T-IV).
Nayak, Anshul, Azim Eskandarian, Zachary Doerzaph, and Prasenjit Ghorai. "Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty." arXiv preprint arXiv:2305.16620 (2023).
2022
Nayak, Anshul, Azim Eskandarian, and Zachary Doerzaph. "Uncertainty estimation of pedestrian future trajectory using Bayesian approximation." IEEE Open Journal of Intelligent Transportation Systems 3 (2022): 617-630.
G. Mehr et al., "X-CAR: An Experimental Vehicle Platform for Connected Autonomy Research," in IEEE Intelligent Transportation Systems Magazine, vol. 15, no. 2, pp. 41-57, March-April 2023, doi: 10.1109/MITS.2022.3168801.
2021
Wu, Xihui, Anshul Nayak, and Azim Eskandarian. "Motion planning of autonomous vehicles under dynamic traffic environment in intersections using probabilistic rapidly exploring random tree." SAE International Journal of Connected and Automated Vehicles 4, no. 12-04-04-0029 (2021): 383-399.
Nayak, Anshul, Azim Eskandarian, Prasenjit Ghorai, and Zachary Doerzaph. "A comparative study on feature descriptors for relative pose estimation in connected vehicles." In ASME International Mechanical Engineering Congress and Exposition, vol. 85628, p. V07BT07A022. American Society of Mechanical Engineers, 2021.