activity
20232026
most citedVirtualPainting: Addressing Sparsity with Virtual Points and Distance-Aware Data Augmentation for 3D Object Detection

3 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

One-Stage Object Detectors in Autonomous Driving

Jonel Roman, Ryan Sirjue, Peter Nguyen +3

Autonomous vehicles depend on fast and reliable perception systems to detect surrounding vehicles, pedestrians, cyclists, traffic signs, and other road objects in real time. This p…

cs.RO2026

Autonomous Agricultural Tractor: Integrated Weed Detection and LiDAR Navigation for Precision Paddy Farming

Benjamin Merryman-Smith, Tony Nguyen, Bilal Dogutas +3

Site-specific weed management in paddy farming offers substantial reductions in herbicide use over conventional broadcast spraying, but field deployment has been limited by three p…

cs.CR2025

Risk Assessment and Threat Modeling for safe autonomous driving technology

Ian Alexis Wong Paz, Anuvinda Balan, Sebastian Campos +2

This research paper delves into the field of autonomous vehicle technology, examining the vulnerabilities inherent in each component of these transformative vehicles. Autonomous ve…

cs.RO2024★ 2 cited

Real-time Motion Planning for autonomous vehicles in dynamic environments

Mohammad Dehghani Tezerjani, Dominic Carrillo, Deyuan Qu +3

Recent advancements in self-driving car technologies have enabled them to navigate autonomously through various environments. However, one of the critical challenges in autonomous…

cs.CV2023★ 3 cited

VirtualPainting: Addressing Sparsity with Virtual Points and Distance-Aware Data Augmentation for 3D Object Detection

Sudip Dhakal, Dominic Carrillo, Deyuan Qu +3

In recent times, there has been a notable surge in multimodal approaches that decorates raw LiDAR point clouds with camera-derived features to improve object detection performance.…

cs.CV2023★ 3 cited

Facial Emotion Recognition using CNN in PyTorch

Deyuan Qu, Sudip Dhakal, Dominic Carrillo

In this project, we have implemented a model to recognize real-time facial emotions given the camera images. Current approaches would read all data and input it into their model, w…