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 2501–2510 of 2605 papers

TitleStatusHype
Safe Driving Capacity of Autonomous Vehicles—0
Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs—0
Spatial Uncertainty Sampling for End-to-End Control—0
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives—0
Quantitative Projection Coverage for Testing ML-enabled Autonomous Systems—0
PALM: An Incremental Construction of Hyperplanes for Data Stream Regression—0
An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets—0
Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems—0
A Bird's-eye View of Language Processing Projects at the Romanian Academy—0
Formal Security Analysis of Neural Networks using Symbolic IntervalsCode0
Show:102550
← PrevPage 251 of 261Next →

Benchmark Results

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