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 1231–1240 of 2605 papers

TitleStatusHype
Integrated Analysis of Coarse-Grained Guidance for Traffic Flow Stability—0
SlaBins: Fisheye Depth Estimation using Slanted Bins on Road Environments—0
Seeing With Sound: Long-range Acoustic Beamforming for Multimodal Scene Understanding—0
BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided ModelingCode1
Query-Centric Trajectory PredictionCode2
VAFER: Signal Decomposition based Mutual Interference Suppression in FMCW Radars—0
Learning When to Use Adaptive Adversarial Image Perturbations against Autonomous Vehicles—0
Context-Aware Target Classification with Hybrid Gaussian Process prediction for Cooperative Vehicle Safety systems—0
Example-guided learning of stochastic human driving policies using deep reinforcement learningCode1
Peek into the Future Camera-based Occupant Sensing in Configurable Cabins for Autonomous Vehicles—0
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Benchmark Results

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