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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1121–1130 of 2605 papers

TitleStatusHype
On the Impact of CDL and TDL Augmentation for RF Fingerprinting under Impaired Channels—0
Pedestrian and Passenger Interaction with Autonomous Vehicles: Field Study in a Crosswalk Scenario—0
Scalable Decentralized Cooperative Platoon using Multi-Agent Deep Reinforcement Learning—0
Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous DrivingCode0
Beyond One Model Fits All: Ensemble Deep Learning for Autonomous Vehicles—0
Graph-based Prediction and Planning Policy Network (GP3Net) for scalable self-driving in dynamic environments using Deep Reinforcement Learning—0
Prospective Role of Foundation Models in Advancing Autonomous Vehicles—0
Development and Assessment of Autonomous Vehicles in Both Fully Automated and Mixed Traffic Conditions—0
Residual Graph Convolutional Network for Bird's-Eye-View Semantic Segmentation—0
Analyze Drivers' Intervention Behavior During Autonomous Driving -- A VR-incorporated Approach—0
Show:102550
← PrevPage 113 of 261Next →

Benchmark Results

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