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 411–420 of 2605 papers

TitleStatusHype
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and ClassificationCode0
Multi-Agent Imitation Learning for Driving SimulationCode0
ARC: Adversarially Robust Control Policies for Autonomous VehiclesCode0
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature PerturbationCode0
Multi-Agent Pathfinding: Definitions, Variants, and BenchmarksCode0
A Safe Preference Learning Approach for Personalization with Applications to Autonomous VehiclesCode0
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution EnvironmentsCode0
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random FieldCode0
MGNiceNet: Unified Monocular Geometric Scene UnderstandingCode0
ManeuverGPT Agentic Control for Safe Autonomous Stunt ManeuversCode0
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Benchmark Results

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