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 391–400 of 2605 papers

TitleStatusHype
Learning to Move with Affordance MapsCode1
RangeNet++: Fast and Accurate LiDAR Semantic SegmentationCode1
Tree-based Intelligent Intrusion Detection System in Internet of VehiclesCode1
A General Framework of Learning Multi-Vehicle Interaction Patterns from VideosCode1
LEAF: A Benchmark for Federated SettingsCode1
BirdNet: a 3D Object Detection Framework from LiDAR informationCode1
Counterfactual Multi-Agent Policy GradientsCode1
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous VehiclesCode1
Vision-based Perception for Autonomous Vehicles in Obstacle Avoidance Scenarios—0
Fast and Accurate Collision Probability Estimation for Autonomous Vehicles using Adaptive Sigma-Point Sampling—0
Show:102550
← PrevPage 40 of 261Next →

Benchmark Results

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