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 1871–1880 of 2605 papers

TitleStatusHype
Incentivizing Efficient Equilibria in Traffic Networks with Mixed Autonomy—0
Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet AutoencoderCode0
Calibration of Human Driving Behavior and Preference Using Naturalistic Traffic Data—0
Enabling 3D Object Detection with a Low-Resolution LiDAR—0
Situational Coverage and Rate Distribution Maps for 5G V2X Systems Using Ray-Tracing—0
Pedestrian Collision Avoidance for Autonomous Vehicles at Unsignalized Intersection Using Deep Q-Network—0
IPatch: A Remote Adversarial Patch—0
Collaborative Human-Agent Planning for Resilience—0
Neuromorphic Computing is Turing-Complete—0
Model Guided Road Intersection Classification—0
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Benchmark Results

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