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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2126–2150 of 2605 papers

TitleStatusHype
Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition—0
Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory RasterizationCode1
Interpretable Safety Validation for Autonomous VehiclesCode0
Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios—0
Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving ApplicationsCode1
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review—0
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction—0
Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental StudyCode1
Real-Time Segmentation Networks should be Latency Aware—0
TensorFI: A Flexible Fault Injection Framework for TensorFlow ApplicationsCode1
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles—0
Exploration of Reinforcement Learning for Event Camera using Car-like Robots—0
Statistical Verification of Autonomous Systems using Surrogate Models and Conformal Inference—0
Covariance-Robust Dynamic Watermarking—0
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning—0
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