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 521–530 of 2605 papers

TitleStatusHype
Training A Neural Network For Partially Occluded Road Sign Identification In The Context Of Autonomous Vehicles—0
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving—0
Targetless 6DoF Calibration of LiDAR and 2D Scanning Radar Based on Cylindrical Occupancy—0
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles—0
Informative Path Planning to Explore and Map Unknown Planetary Surfaces with Gaussian Processes—0
Evaluating Global Geo-alignment for Precision Learned Autonomous Vehicle Localization using Aerial Data—0
Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward ProfilesCode0
GAN-Based Single-Stage Defense for Traffic Sign Classification Under Adversarial Patch Attack—0
Understanding Driver Cognition and Decision-Making Behaviors in High-Risk Scenarios: A Drift Diffusion Perspective—0
Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles with Discrete Gear SelectionCode0
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Benchmark Results

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