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 961–970 of 2605 papers

TitleStatusHype
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction—0
Collaborative Perception Datasets in Autonomous Driving: A Survey—0
On-board classification of underwater images using hybrid classical-quantum CNN based method—0
How Real Is Real? A Human Evaluation Framework for Unrestricted Adversarial Examples—0
An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles—0
Learning a Stable, Safe, Distributed Feedback Controller for a Heterogeneous Platoon of Autonomous Vehicles—0
S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles—0
How to deal with glare for improved perception of Autonomous Vehicles—0
Developing Situational Awareness for Joint Action with Autonomous Vehicles—0
Characterization and Mitigation of Insufficiencies in Automated Driving Systems—0
Show:102550
← PrevPage 97 of 261Next →

Benchmark Results

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