Nov 18, 2021 · Abstract:Object detection in state-of-the-art Autonomous Vehicles (AV) framework relies heavily on deep neural networks.
Nov 19, 2021 · Object detection in state-of-the-art Autonomous Vehicles (AV) framework relies heavily on deep neural networks.
Nov 19, 2021 · The Camera module addresses the practical challenges of false positives and over-segmentation within the 2D Clusters. We devise a new approach ...
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This paper introduces the Scenario-Based Segmentation Network (SBS-Net), which highlights significant advances in autonomous driving. Through the integration of ...
Nov 19, 2021 · Object detection in state-of-the-art Autonomous Vehicles (AV) framework relies heavily on deep neural networks.
Lidar cluster first and camera inference later: A new perspective towards autonomous driving. J Chen, S Yu, R Tabish, A Bansal, S Liu, T Abdelzaher, L Sha.
LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving ... Object detection in state-of-the-art Autonomous Vehicles (AV) ...
Lidar cluster first and camera inference later: A new perspective towards autonomous driving. J Chen, S Yu, R Tabish, A Bansal, S Liu, T Abdelzaher, L Sha.
LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving. Jiyang Chen, Simon Yu, Rohan Tabish, Ayoosh Bansal, Shengzhong ...
LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving · Jiyang ChenS. Yu +4 authors. L. Sha. Computer Science ...