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

Showing 10611070 of 2605 papers

TitleStatusHype
AI-Powered Anomaly Detection with Blockchain for Real-Time Security and Reliability in Autonomous Vehicles0
A Brief Survey and an Application of Semantic Image Segmentation for Autonomous Driving0
Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks0
Gradient Policy on "CartPole" game and its' expansibility to F1Tenth Autonomous Vehicles0
AINS: Affordable Indoor Navigation Solution via Line Color Identification Using Mono-Camera for Autonomous Vehicles0
HALS: A Height-Aware Lidar Super-Resolution Framework for Autonomous Driving0
Cross-Enhancement Transform Two-Stream 3D ConvNets for Action Recognition0
Attack Tree Analysis for Adversarial Evasion Attacks0
Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset0
GMS-VINS:Multi-category Dynamic Objects Semantic Segmentation for Enhanced Visual-Inertial Odometry Using a Promptable Foundation Model0
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Benchmark Results

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