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 2151–2200 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
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
Partial Weight Adaptation for Robust DNN Inference—0
Group Activity Recognition by Using Effective Multiple Modality Relation Representation With Temporal-Spatial Attention—0
FormulaZero: Distributionally Robust Online Adaptation via Offline Population SynthesisCode0
A Multi-Agent Reinforcement Learning Approach For Safe and Efficient Behavior Planning Of Connected Autonomous Vehicles—0
SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles—0
A machine learning environment for evaluating autonomous driving software—0
A Multi-Modal States based Vehicle Descriptor and Dilated Convolutional Social Pooling for Vehicle Trajectory Prediction—0
Efficient statistical validation with edge cases to evaluate Highly Automated Vehicles—0
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization—0
Vehicle-Human Interactive Behaviors in Emergency: Data Extraction from Traffic Accident Videos—0
Multi-Feature View-Based Shallow Convolutional Neural Network for Road Segmentation—0
3D Point Cloud Processing and Learning for Autonomous Driving—0
Mixed Strategies for Robust Optimization of Unknown Objectives—0
Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS -- a collection of Technical Notes Part 1—0
Triangle-Net: Towards Robustness in Point Cloud LearningCode0
Training Adversarial Agents to Exploit Weaknesses in Deep Control PoliciesCode0
Pedestrian Models for Autonomous Driving Part I: Low-Level Models, from Sensing to Tracking—0
Generating Control Policies for Autonomous Vehicles Using Neural ODEs—0
Improvements of Motion Estimation and Coding using Neural Networks—0
siaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera 3D Object Detection—0
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Benchmark Results

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