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Found 4 papers, 3 papers with code
Evaluating the Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric analysis
This study investigates the vulnerability of semantic segmentation models to adversarial input perturbations, in the domain of off- road autonomous driving.
Dimensionality of datasets in object detection networks
In recent years, convolutional neural networks (CNNs) are used in a large number of tasks in computer vision.
Multi-Modal Depth Estimation Using Convolutional Neural Networks
This paper addresses the problem of dense depth predictions from sparse distance sensor data and a single camera image on challenging weather conditions.
Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous Vehicles
BIRANet yields 72. 3/75. 3% average AP/AR on the NuScenes dataset, which is better than the performance of our base network Faster-RCNN with Feature pyramid network(FFPN).
Ranked #1 on
Object Detection
on nuScenes
