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20202026
most citedMachine Learning for Healthcare-IoT Security: A Review and Risk Mitigation

91 citations · 152 across the 40 of their papers we have counts for

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Showing 2023 · cs.CVShow all

6 papers · 2 filters

cs.CV2023

BEVSeg2TP: Surround View Camera Bird's-Eye-View Based Joint Vehicle Segmentation and Ego Vehicle Trajectory Prediction

Sushil Sharma, Arindam Das, Ganesh Sistu +2

Trajectory prediction is, naturally, a key task for vehicle autonomy. While the number of traffic rules is limited, the combinations and uncertainties associated with each agent's…

cs.CV2023★ 1 cited

Self-Supervised Online Camera Calibration for Automated Driving and Parking Applications

Ciarán Hogan, Ganesh Sistu, Ciarán Eising

Camera-based perception systems play a central role in modern autonomous vehicles. These camera based perception algorithms require an accurate calibration to map the real world di…

cs.CV2023

Hardware Accelerators in Autonomous Driving

Ken Power, Shailendra Deva, Ting Wang +2

Computing platforms in autonomous vehicles record large amounts of data from many sensors, process the data through machine learning models, and make decisions to ensure the vehicl…

cs.CV2023★ 1 cited

Towards a performance analysis on pre-trained Visual Question Answering models for autonomous driving

Kaavya Rekanar, Ciarán Eising, Ganesh Sistu +1

This short paper presents a preliminary analysis of three popular Visual Question Answering (VQA) models, namely ViLBERT, ViLT, and LXMERT, in the context of answering questions re…

cs.CV2023★ 1 cited

Navigating Uncertainty: The Role of Short-Term Trajectory Prediction in Autonomous Vehicle Safety

Sushil Sharma, Ganesh Sistu, Lucie Yahiaoui +3

Autonomous vehicles require accurate and reliable short-term trajectory predictions for safe and efficient driving. While most commercial automated vehicles currently use state mac…

cs.CV2023

Revisiting Modality Imbalance In Multimodal Pedestrian Detection

Arindam Das, Sudip Das, Ganesh Sistu +5

Multimodal learning, particularly for pedestrian detection, has recently received emphasis due to its capability to function equally well in several critical autonomous driving sce…