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 321330 of 2605 papers

TitleStatusHype
Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-SupervisionCode1
LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place RecognitionCode1
Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy WeatherCode1
Domain Generalization for Vision-based Driving Trajectory GenerationCode1
Leading Cruise Control in Mixed Traffic Flow: System Modeling, Controllability, and String StabilityCode1
Learning Cooperative Trajectory Representations for Motion ForecastingCode1
AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking LotCode1
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent FuturesCode1
DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained AutoencoderCode1
Autonomous driving using GA-optimized neural network based adaptive LPV-MPC controllerCode1
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Benchmark Results

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