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

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Showing 1431–1440 of 2605 papers

TitleStatusHype
Quantum-tunnelling deep neural network for optical illusion recognition—0
Querying Labeled Time Series Data with Scenario Programs—0
Querying Labelled Data with Scenario Programs for Sim-to-Real Validation—0
R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes—0
Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles—0
Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar—0
Radar Guided Dynamic Visual Attention for Resource-Efficient RGB Object Detection—0
Radars for Autonomous Driving: A Review of Deep Learning Methods and Challenges—0
RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion—0
RainSD: Rain Style Diversification Module for Image Synthesis Enhancement using Feature-Level Style Distribution—0
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Benchmark Results

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