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
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
RMNv2: Reduced Mobilenet V2 for CIFAR10—0
Learning to Move with Affordance MapsCode1
VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving—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
Dependable Neural Networks for Safety Critical Tasks—0
Practical Solutions for Machine Learning Safety in Autonomous Vehicles—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
Increasing performance of electric vehicles in ride-hailing services using deep reinforcement learningCode0
Self-Supervised 3D Keypoint Learning for Ego-motion EstimationCode0
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
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network—0
Data-Driven Multi-step Demand Prediction for Ride-hailing Services Using Convolutional 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
RangeNet++: Fast and Accurate LiDAR Semantic SegmentationCode1
Counterexample-Guided Synthesis of Perception Models and Control—0
Autonomous Vehicles Meet the Physical World: RSS, Variability, Uncertainty, and Proving Safety (Expanded Version)—0
Multivariate Uncertainty in Deep Learning—0
In-Place Zero-Space Memory Protection for CNNCode0
A Distributed Model-Free Algorithm for Multi-hop Ride-sharing using Deep Reinforcement Learning—0
Automatic Testing With Reusable Adversarial Agents—0
Learning a Safety Verifiable Adaptive Cruise Controller from Human Driving Data—0
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities—0
Measuring Similarity of Interactive Driving Behaviors Using Matrix Profile—0
WeatherNet: Recognising weather and visual conditions from street-level images using deep residual learning—0
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Benchmark Results

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