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 1121–1130 of 2605 papers

TitleStatusHype
A Benchmark for Vision-Centric HD Mapping by V2I Systems—0
3D high-resolution imaging algorithm using 1D MIMO array for autonomous driving application—0
Coordinated Control of Autonomous Vehicles for Traffic Density Reduction at a Signalized Junction: An MPC Approach—0
A Survey on Deep Learning Methods for Semantic Image Segmentation in Real-Time—0
Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds—0
A Survey on Datasets for Decision-making of Autonomous Vehicle—0
A Hybrid Learner for Simultaneous Localization and Mapping—0
Cooperative Saliency-based Obstacle Detection and AR Rendering for Increased Situational Awareness—0
Cooperative Perception for Safe Control of Autonomous Vehicles under LiDAR Spoofing Attacks—0
A Survey on Data-Driven Modeling of Human Drivers' Lane-Changing Decisions—0
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Benchmark Results

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