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 2171–2180 of 2605 papers

TitleStatusHype
Aerial Imagery based LIDAR Localization for Autonomous Vehicles—0
PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric SLAM—0
Driver Modeling through Deep Reinforcement Learning and Behavioral Game Theory—0
A Game-Theoretic Model of Human Driving and Application to Discretionary Lane-Changes—0
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles—0
Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-based Traffic Congestion Control Systems—0
Learning to Optimize Autonomy in Competence-Aware Systems—0
Longitudinal Control of Vehicles in Traffic Microsimulation—0
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models—0
Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World—0
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Benchmark Results

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