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

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Showing 2251–2300 of 2605 papers

TitleStatusHype
Multivariate Uncertainty in Deep Learning—0
Autonomous Vehicles Meet the Physical World: RSS, Variability, Uncertainty, and Proving Safety (Expanded Version)—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
Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process—0
A Hybrid Compact Neural Architecture for Visual Place RecognitionCode0
Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories—0
FuseMODNet: Real-Time Camera and LiDAR based Moving Object Detection for robust low-light Autonomous Driving—0
Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model—0
Intention Recognition of Pedestrians and Cyclists by 2D Pose EstimationCode0
Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression—0
Improving Map Re-localization with Deep 'Movable' Objects Segmentation on 3D LiDAR Point Clouds—0
Risk-Aware Reasoning for Autonomous Vehicles—0
High-Resolution Traffic Sensing with Autonomous VehiclesCode0
Bayesian Learning-Based Adaptive Control for Safety Critical SystemsCode0
Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods—0
GLADAS: Gesture Learning for Advanced Driver Assistance Systems—0
Review of Learning-based Longitudinal Motion Planning for Autonomous Vehicles: Research Gaps between Self-driving and Traffic Congestion—0
Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning—0
Using Image Priors to Improve Scene Understanding—0
STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory PredictionCode0
Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles—0
Automated design of error-resilient and hardware-efficient deep neural networks—0
Safe Reinforcement Learning on Autonomous Vehicles—0
epBRM: Improving a Quality of 3D Object Detection using End Point Box Regression Module—0
Interactive Decision Making for Autonomous Vehicles in Dense Traffic—0
Adaptive Binary-Ternary Quantization—0
Communication-Constrained Routing and Traffic Control for Autonomous Vehicles—0
Visual Exploration and Energy-aware Path Planning via Reinforcement LearningCode0
Autonomous Driving and Residential Location Preferences: Evidence from a Stated Choice Survey—0
Multi-agent Interactive Prediction under Challenging Driving Scenarios—0
Controlling an Autonomous Vehicle with Deep Reinforcement Learning—0
AIBA: An AI Model for Behavior Arbitration in Autonomous Driving—0
Towards Multimodal Understanding of Passenger-Vehicle Interactions in Autonomous Vehicles: Intent/Slot Recognition Utilizing Audio-Visual Data—0
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic DataCode0
Off-road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on Deep Inverse Reinforcement Learning—0
Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoVCode0
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds—0
Towards Assume-Guarantee Profiles for Autonomous Vehicles—0
Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learningCode0
Towards Safe Machine Learning for CPS: Infer Uncertainty from Training Data—0
ScieNet: Deep Learning with Spike-assisted Contextual Information Extraction—0
DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks—0
Object Viewpoint Classification Based 3D Bounding Box Estimation for Autonomous Vehicles—0
3D Bounding Box Estimation for Autonomous Vehicles by Cascaded Geometric Constraints and Depurated 2D Detections Using 3D Results—0
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Benchmark Results

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