SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

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Showing 2211–2220 of 2605 papers

TitleStatusHype
Adversarial Attacks on Convolutional Neural Networks in Facial Recognition Domain—0
Localization in Autonomous Vehicles Using a Generalized Inner Product—0
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement LearningCode0
Weighted Average Precision: Adversarial Example Detection in the Visual Perception of Autonomous VehiclesCode0
Correcting Decalibration of Stereo Cameras in Self-Driving Vehicles—0
Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment—0
Self-Driving like a Human driver instead of a Robocar: Personalized comfortable driving experience for autonomous vehicles—0
Decentralized Optimization of Vehicle Route Planning -- A Cross-City Comparative Study—0
VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving—0
RMNv2: Reduced Mobilenet V2 for CIFAR10—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified