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 2201–2250 of 2605 papers

TitleStatusHype
Cooperative LIDAR Object Detection via Feature Sharing in Deep Networks—0
Learning a Directional Soft Lane Affordance Model for Road Scenes Using Self-Supervision—0
Performance Analysis of RSU-based Multihomed Multilane Vehicular Networks—0
Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network—0
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic—0
Adaptive Control for Unknown Heterogeneous Vehicles Synchronization with Unstructured Uncertainty—0
Self-explaining AI as an alternative to interpretable AI—0
Vehicle Driving AssistantCode0
Modeling Perception Errors towards Robust Decision Making in Autonomous Vehicles—0
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles—0
Adversarial Attacks on Convolutional Neural Networks in Facial Recognition Domain—0
Localization in Autonomous Vehicles Using a Generalized Inner Product—0
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement LearningCode0
Weighted Average Precision: Adversarial Example Detection in the Visual Perception of Autonomous VehiclesCode0
Correcting Decalibration of Stereo Cameras in Self-Driving Vehicles—0
Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment—0
Self-Driving like a Human driver instead of a Robocar: Personalized comfortable driving experience for autonomous vehicles—0
Decentralized Optimization of Vehicle Route Planning -- A Cross-City Comparative Study—0
VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving—0
RMNv2: Reduced Mobilenet V2 for CIFAR10—0
PaRoT: A Practical Framework for Robust Deep Neural Network TrainingCode0
The Pedestrian Patterns Dataset—0
Learning Selective Sensor Fusion for States Estimation—0
Vehicle Communication using Hash Chain-based Secure Cluster—0
A Multicriteria Decision Making Approach to Study the Barriers to the Adoption of Autonomous Vehicles—0
A Survey of Deep Learning Applications to Autonomous Vehicle Control—0
Practical Solutions for Machine Learning Safety in Autonomous Vehicles—0
Dependable Neural Networks for Safety Critical Tasks—0
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement LearningCode0
Deep Radar Waveform Design for Efficient Automotive Radar Sensing—0
CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary CodingCode0
Inferring Distributions Over Depth from a Single ImageCode0
Lane Detection For Prototype Autonomous Vehicle—0
CNN-based Lidar Point Cloud De-Noising in Adverse WeatherCode0
Self-Supervised 3D Keypoint Learning for Ego-motion EstimationCode0
Increasing performance of electric vehicles in ride-hailing services using deep reinforcement learningCode0
RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving—0
Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles—0
Cameras Viewing Cameras Geometry—0
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving—0
mm-Pose: Real-Time Human Skeletal Posture Estimation using mmWave Radars and CNNs—0
Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural NetworkCode0
Accurate Trajectory Prediction for Autonomous Vehicles—0
Human Driver Behavior Prediction based on UrbanFlow—0
Data-Driven Multi-step Demand Prediction for Ride-hailing Services Using Convolutional Neural Network—0
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network—0
Detecting Driveable Area for Autonomous Vehicles—0
Argoverse: 3D Tracking and Forecasting with Rich MapsCode0
Liability Design for Autonomous Vehicles and Human-Driven Vehicles: A Hierarchical Game-Theoretic Approach—0
Counterexample-Guided Synthesis of Perception Models and Control—0
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Benchmark Results

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