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 1441–1450 of 2605 papers

TitleStatusHype
Range and Angle Estimation with Spiking Neural Resonators for FMCW Radar—0
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning—0
Rank-One Prior: Toward Real-Time Scene Recovery—0
Rare Collision Risk Estimation of Autonomous Vehicles with Multi-Agent Situation Awareness—0
Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling—0
Ray Based Distributed Autonomous Vehicle Research Platform—0
Reactive motion planning with probabilistic safety guarantees—0
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios—0
Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model—0
Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution—0
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Benchmark Results

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