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 20212030 of 2605 papers

TitleStatusHype
Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving0
Robust and Scalable Techniques for TWR and TDoA based localization using Ultra Wide Band Radios0
A Survey and Insights on Deployments of the Connected and Autonomous Vehicles in US0
Efficient algorithms for electric vehicles' min-max routing problem0
SL1-Simplex: Safe Velocity Regulation of Self-Driving Vehicles in Dynamic and Unforeseen Environments0
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles0
Traffic Control Gesture Recognition for Autonomous VehiclesCode1
Imitative Planning using Conditional Normalizing Flow0
What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D Vehicle Detector0
Adaptive LiDAR Sampling and Depth Completion using Ensemble VarianceCode0
Show:102550
← PrevPage 203 of 261Next →

Benchmark Results

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