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 2141–2150 of 2605 papers

TitleStatusHype
A Low-cost Fault Corrector for Deep Neural Networks through Range RestrictionCode0
Model-Reference Reinforcement Learning Control of Autonomous Surface Vehicles with Uncertainties—0
Predicting Semantic Map Representations from Images using Pyramid Occupancy NetworksCode1
Secure Platooning of Autonomous Vehicles Under Attacked GPS Data—0
Optimizing Coordinated Vehicle Platooning: An Analytical Approach Based on Stochastic Dynamic Programming—0
On the utilization of Macroscopic Information for String Stability of a Vehicular Platoon—0
Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior—0
DeepCrashTest: Turning Dashcam Videos into Virtual Crash Tests for Automated Driving Systems—0
Aerial Imagery based LIDAR Localization for Autonomous Vehicles—0
Driver Modeling through Deep Reinforcement Learning and Behavioral Game Theory—0
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Benchmark Results

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