Výsledky vyhledávání - "Gautam, Alvika"

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Exploring Unstructured Environments using Minimal Sensing on Cooperative Nano-Drones

Autor: Arias-Perez, Pedro, Gautam, Alvika, Fernandez-Cortizas, Miguel, Perez-Saura, David, Saripalli, Srikanth, Campoy, Pascual

Recent advances have improved autonomous navigation and mapping under payload constraints, but current multi-robot inspection algorithms are unsuitable for nano-drones due to their need for heavy sensors and high computational resources. To address t

Externí odkaz: http://arxiv.org/abs/2407.06706

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GPT-4V Takes the Wheel: Promises and Challenges for Pedestrian Behavior Prediction

Autor: Huang, Jia, Jiang, Peng, Gautam, Alvika, Saripalli, Srikanth

Predicting pedestrian behavior is the key to ensure safety and reliability of autonomous vehicles. While deep learning methods have been promising by learning from annotated video frame sequences, they often fail to fully grasp the dynamic interactio

Externí odkaz: http://arxiv.org/abs/2311.14786

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WiDEVIEW: An UltraWideBand and Vision Dataset for Deciphering Pedestrian-Vehicle Interactions

Autor: Huang, Jia, Gautam, Alvika, Choi, Junghun, Saripalli, Srikanth

Robust and accurate tracking and localization of road users like pedestrians and cyclists is crucial to ensure safe and effective navigation of Autonomous Vehicles (AVs), particularly so in urban driving scenarios with complex vehicle-pedestrian inte

Externí odkaz: http://arxiv.org/abs/2309.16057

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Learning Pedestrian Actions to Ensure Safe Autonomous Driving

Autor: Huang, Jia, Gautam, Alvika, Saripalli, Srikanth

To ensure safe autonomous driving in urban environments with complex vehicle-pedestrian interactions, it is critical for Autonomous Vehicles (AVs) to have the ability to predict pedestrians' short-term and immediate actions in real-time. In recent ye

Externí odkaz: http://arxiv.org/abs/2305.13051

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A Distributed Hybrid Hardware-In-the-Loop Simulation framework for Infrastructure Enabled Autonomy

Autor: Nayak, Abhishek, Chour, Kenny, Marr, Tyler, Ravipati, Deepika, Dey, Sheelabhadra, Gautam, Alvika, Gopalswamy, Swaminathan, Rathinam, Sivakumar

Infrastructure Enabled Autonomy (IEA) is a new paradigm that employs a distributed intelligence architecture for connected autonomous vehicles by offloading core functionalities to the infrastructure. In this paper, we develop a simulation framework

Externí odkaz: http://arxiv.org/abs/1802.01787

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