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 2151–2175 of 2605 papers

TitleStatusHype
DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation—0
Road Quality Analysis Based on Cognitive Internet of Vehicles (CIoV)—0
Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios—0
Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition—0
Interpretable Safety Validation for Autonomous VehiclesCode0
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
Real-Time Segmentation Networks should be Latency Aware—0
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
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning—0
Covariance-Robust Dynamic Watermarking—0
Model-Reference Reinforcement Learning Control of Autonomous Surface Vehicles with Uncertainties—0
A Low-cost Fault Corrector for Deep Neural Networks through Range RestrictionCode0
Optimizing Coordinated Vehicle Platooning: An Analytical Approach Based on Stochastic Dynamic Programming—0
Secure Platooning of Autonomous Vehicles Under Attacked GPS Data—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
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
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Benchmark Results

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