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 331340 of 2605 papers

TitleStatusHype
Non-linear State-space Model Identification from Video Data using Deep EncodersCode1
Video Deblurring by Fitting to Test DataCode1
Leading Cruise Control in Mixed Traffic Flow: System Modeling, Controllability, and String StabilityCode1
Understanding Bird's-Eye View of Road Semantics using an Onboard CameraCode1
Detecting 32 Pedestrian Attributes for Autonomous VehiclesCode1
Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-SupervisionCode1
SS-SFDA : Self-Supervised Source-Free Domain Adaptation for Road Segmentation in Hazardous EnvironmentsCode1
Polarization-driven Semantic Segmentation via Efficient Attention-bridged FusionCode1
Emergent Road Rules In Multi-Agent Driving EnvironmentsCode1
Robust super-resolution depth imaging via a multi-feature fusion deep networkCode1
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Benchmark Results

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