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 341–350 of 2605 papers

TitleStatusHype
Autonomous driving using GA-optimized neural network based adaptive LPV-MPC controllerCode1
Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-SupervisionCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
Learning to Move with Affordance MapsCode1
CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal RelationshipsCode1
Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional ApproachCode1
Bootstrapping Autonomous Driving Radars with Self-Supervised LearningCode1
Lidar Panoptic Segmentation in an Open WorldCode1
Monitoring and Adapting the Physical State of a Camera for Autonomous VehiclesCode1
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye ViewCode1
Show:102550
← PrevPage 35 of 261Next →

Benchmark Results

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