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 681–690 of 2605 papers

TitleStatusHype
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion PredictionCode2
Diffusion-Based Environment-Aware Trajectory Prediction—0
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making—0
Integration of 5G and Motion Sensors for Vehicular Positioning: A Loosely-Coupled Approach—0
P-MapNet: Far-seeing Map Generator Enhanced by both SDMap and HDMap Priors—0
Belief Aided Navigation using Bayesian Reinforcement Learning for Avoiding Humans in Blind SpotsCode0
Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI—0
Are you a robot? Detecting Autonomous Vehicles from Behavior Analysis—0
PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF PriorsCode1
Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models—0
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Benchmark Results

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