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20202025
most citedInverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy Prediction

1 citations · 1 across the 10 of their papers we have counts for

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cs.RO2023

Classification of Safety Driver Attention During Autonomous Vehicle Operation

Santiago Gerling Konrad, Julie Stephany Berrio, Mao Shan +2

Despite the continual advances in Advanced Driver Assistance Systems (ADAS) and the development of high-level autonomous vehicles (AV), there is a general consensus that for the sh…

cs.RO2023

Practical Collaborative Perception: A Framework for Asynchronous and Multi-Agent 3D Object Detection

Minh-Quan Dao, Julie Stephany Berrio, Vincent Frémont +3

Occlusion is a major challenge for LiDAR-based object detection methods. This challenge becomes safety-critical in urban traffic where the ego vehicle must have reliable object det…

cs.RO2022

A Novel Probabilistic V2X Data Fusion Framework for Cooperative Perception

Mao Shan, Karan Narula, Stewart Worrall +4

The paper addresses the vehicle-to-X (V2X) data fusion for cooperative or collective perception (CP). This emerging and promising intelligent transportation systems (ITS) technolog…

cs.RO2020

Socially Aware Crowd Navigation with Multimodal Pedestrian Trajectory Prediction for Autonomous Vehicles

Kunming Li, Mao Shan, Karan Narula +2

Seamlessly operating an autonomous vehicle in a crowded pedestrian environment is a very challenging task. This is because human movement and interactions are very hard to predict…

cs.RO2020

Semantic sensor fusion: from camera to sparse lidar information

Julie Stephany Berrio, Mao Shan, Stewart Worrall +2

To navigate through urban roads, an automated vehicle must be able to perceive and recognize objects in a three-dimensional environment. A high-level contextual understanding of th…