Zobrazeno 1 - 10
of 1 606
pro vyhledávání: '"A. Gopalkrishnan"'
Vision-Language Models (VLMs) and Multi-Modal Language models (MMLMs) have become prominent in autonomous driving research, as these models can provide interpretable textual reasoning and responses for end-to-end autonomous driving safety tasks using
Externí odkaz:
http://arxiv.org/abs/2403.19838
Can a micron sized sack of interacting molecules autonomously learn an internal model of a complex and fluctuating environment? We draw insights from control theory, machine learning theory, chemical reaction network theory, and statistical physics t
Externí odkaz:
http://arxiv.org/abs/2311.00975
Autor:
A. Srivastava, S. D. Pawar, S. S. Kundu, V. Gopalkrishnan, M. Domkawale, M. Kumar, S. P. Aggarwal
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-5-2024, Pp 189-196 (2024)
This work is showing the performance of Indian Lightning Location Network (ILLN) and lightning characteristics around Lucknow and Shillong India. Observation of ground truth using ordinary camera show the location accuracy of lightning location netwo
Externí odkaz:
https://doaj.org/article/34f586d8ff594136905ec83d490f0224
Publikováno v:
Discover Education, Vol 3, Iss 1, Pp 1-10 (2024)
Abstract The use of Artificial Intelligence (AI) software has recently increased exponentially. Generative AI capabilities have moved from fiction to fact. This technology is changing the way we engage in Entrepreneurship, research it, and teach it.
Externí odkaz:
https://doaj.org/article/e68d6346cb5642aebdea5c9104a16a64
Autor:
Greer, Ross, Gopalkrishnan, Akshay, Mandadi, Sumega, Gunaratne, Pujitha, Trivedi, Mohan M., Marcotte, Thomas D.
About 30% of all traffic crash fatalities in the United States involve drunk drivers, making the prevention of drunk driving paramount to vehicle safety in the US and other locations which have a high prevalence of driving while under the influence o
Externí odkaz:
http://arxiv.org/abs/2309.08021
Vehicle light detection, association, and localization are required for important downstream safe autonomous driving tasks, such as predicting a vehicle's light state to determine if the vehicle is making a lane change or turning. Currently, many veh
Externí odkaz:
http://arxiv.org/abs/2307.14571
This paper explores the representation of vehicle lights in computer vision and its implications for various tasks in the field of autonomous driving. Different specifications for representing vehicle lights, including bounding boxes, center points,
Externí odkaz:
http://arxiv.org/abs/2307.14521
Autor:
Greer, Ross, Gopalkrishnan, Akshay, Landgren, Jacob, Rakla, Lulua, Gopalan, Anish, Trivedi, Mohan
One of the most important tasks for ensuring safe autonomous driving systems is accurately detecting road traffic lights and accurately determining how they impact the driver's actions. In various real-world driving situations, a scene may have numer
Externí odkaz:
http://arxiv.org/abs/2305.04516
Autor:
Greer, Ross, Desai, Samveed, Rakla, Lulua, Gopalkrishnan, Akshay, Alofi, Afnan, Trivedi, Mohan
It is critical for vehicles to prevent any collisions with pedestrians. Current methods for pedestrian collision prevention focus on integrating visual pedestrian detectors with Automatic Emergency Braking (AEB) systems which can trigger warnings and
Externí odkaz:
http://arxiv.org/abs/2305.04506
Gas leakage is a serious hazard in a variety of sectors, including industrial, domestic, and gas-powered vehicles. The installation of gas leak detection systems has emerged as a critical preventative measure to solve this problem. Traditional gas se
Externí odkaz:
http://arxiv.org/abs/2301.13849