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 951–1000 of 2605 papers

TitleStatusHype
A Case Study of Image Enhancement Algorithms' Effectiveness of Improving Neural Networks' Performance on Adverse Images—0
Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey—0
Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving—0
Exploring the Use of Autonomous Unmanned Vehicles for Supporting Power Grid Operations—0
Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference—0
Characterizing Soft-Error Resiliency in Arm's Ethos-U55 Embedded Machine Learning Accelerator—0
DeepFault: Fault Localization for Deep Neural Networks—0
DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks—0
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology—0
DeepCrashTest: Turning Dashcam Videos into Virtual Crash Tests for Automated Driving Systems—0
ChipNet: Real-Time LiDAR Processing for Drivable Region Segmentation on an FPGA—0
Real-Time Segmentation Networks should be Latency Aware—0
Automated Generation of Diverse and Challenging Scenarios for Test and Evaluation of Autonomous Vehicles—0
Fake it, Mix it, Segment it: Bridging the Domain Gap Between Lidar Sensors—0
Falsification-Based Robust Adversarial Reinforcement Learning—0
Far3Det: Towards Far-Field 3D Detection—0
A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective—0
Deep Camera Pose Regression Using Pseudo-LiDAR—0
Deconvolutional Networks for Point-Cloud Vehicle Detection and Tracking in Driving Scenarios—0
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving—0
FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network—0
Estimating Pedestrian Moving State Based on Single 2D Body Pose—0
Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision—0
Decomposition and Quantification of SOTIF Requirements for Perception Systems of Autonomous Vehicles—0
Decoding CNN based Object Classifier Using Visualization—0
Automated Detecting and Placing Road Objects from Street-level Images—0
Fast Synthetic LiDAR Rendering via Spherical UV Unwrapping of Equirectangular Z-Buffer Images—0
Fault Detection and Human Intervention in Vehicle Platooning: A Multi-Model Framework—0
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds—0
Closing the gap towards end-to-end autonomous vehicle system—0
Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach—0
Feature Importance in Pedestrian Intention Prediction: A Context-Aware Review—0
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities—0
Federated Data-Driven Kalman Filtering for State Estimation—0
Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions using Reinforcement Learning—0
Federated Feature Selection for Cyber-Physical Systems of Systems—0
A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities—0
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions—0
Automated design of error-resilient and hardware-efficient deep neural networks—0
Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles—0
Decision-Making Technology for Autonomous Vehicles Learning-Based Methods, Applications and Future Outlook—0
Algorithmic Approaches to Enhance Safety in Autonomous Vehicles: Minimizing Lane Changes and Merging—0
CMP: Cooperative Motion Prediction with Multi-Agent Communication—0
A Review of Autonomous Road Vehicle Integrated Approaches to an Emergency Obstacle Avoidance Maneuver—0
Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning—0
Few-Shot Testing of Autonomous Vehicles with Scenario Similarity Learning—0
Decision-Making for Autonomous Vehicles with Interaction-Aware Behavioral Prediction and Social-Attention Neural Network—0
Are you a robot? Detecting Autonomous Vehicles from Behavior Analysis—0
Fine-grained acceleration control for autonomous intersection management using deep reinforcement learning—0
Automated Data Curation Using GPS & NLP to Generate Instruction-Action Pairs for Autonomous Vehicle Vision-Language Navigation Datasets—0
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Benchmark Results

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