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 1651–1700 of 2605 papers

TitleStatusHype
A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception—0
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car Following Model—0
Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving—0
Explaining RADAR features for detecting spoofing attacks in Connected Autonomous Vehicles—0
Deep Camera Pose Regression Using Pseudo-LiDAR—0
RONELDv2: A faster, improved lane tracking method—0
"Is not the truth the truth?": Analyzing the Impact of User Validations for Bus In/Out Detection in Smartphone-based Surveys—0
EcoFusion: Energy-Aware Adaptive Sensor Fusion for Efficient Autonomous Vehicle Perception—0
A Tutorial on Adversarial Learning Attacks and Countermeasures—0
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation—0
Flow-level Coordination of Connected and Autonomous Vehicles in Multilane Freeway Ramp Merging Areas—0
Merging Control Strategies of Connected and Autonomous Vehicles at Freeway On-Ramps: A Comprehensive Review—0
Simulating Malicious Attacks on VANETs for Connected and Autonomous Vehicle Cybersecurity: A Machine Learning Dataset—0
Transferable and Adaptable Driving Behavior Prediction—0
Intelligent Autonomous Intersection Management—0
Real-time decision-making for autonomous vehicles under faults—0
Causal Scene BERT: Improving object detection by searching for challenging groups of data—0
Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits—0
HALS: A Height-Aware Lidar Super-Resolution Framework for Autonomous Driving—0
Two-Dimensional Arbitrary Angle of Arrival in Radar Target Simulation—0
Point Cloud Compression for Efficient Data Broadcasting: A Performance Comparison—0
TPC: Transformation-Specific Smoothing for Point Cloud ModelsCode0
5G enabled Mobile Edge Computing security for Autonomous Vehicles—0
Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study—0
A Cooperation-Aware Lane Change Method for Autonomous Vehicles—0
Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation—0
Survey and Systematization of 3D Object Detection Models and Methods—0
Object Detection in Autonomous Vehicles: Status and Open Challenges—0
Roadmap for Cybersecurity in Autonomous Vehicles—0
Ray Based Distributed Autonomous Vehicle Research Platform—0
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems—0
Potential Game-Based Decision-Making for Autonomous Driving—0
Deep Reinforcement Learning for Shared Autonomous Vehicles (SAV) Fleet Management—0
Artificial Intelligence in Software Testing : Impact, Problems, Challenges and Prospect—0
Integration of Vehicular Clouds and Autonomous Driving: Survey and Future Perspectives—0
Driving Conflict Resolution of Autonomous Vehicles at Unsignalized Intersections: A Differential Game Approach—0
A sensor fusion system with thermal infrared camera and LiDAR for autonomous vehicles and deep learning based object detection—0
Modality-Agnostic Learning for Radar-Lidar Fusion in Vehicle Detection—0
Emergence of Cascading Risk and Role of Spatial Locations of Collisions in Time-Delayed Platoon of Vehicles—0
Multi-Adversarial Safety Analysis for Autonomous Vehicles—0
Learning Based Task Offloading in Digital Twin Empowered Internet of Vehicles—0
Grounding Linguistic Commands to Navigable RegionsCode0
Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving—0
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions—0
Learning to integrate vision data into road network data—0
Resilient Branching MPC for Multi-Vehicle Traffic Scenarios Using Adversarial Disturbance Sequences—0
Human-vehicle Cooperative Visual Perception for Autonomous Driving under Complex Road and Traffic Scenarios—0
Cooperation for Scalable Supervision of Autonomy in Mixed Traffic—0
Formal Estimation of Collision Risks for Autonomous Vehicles: A Compositional Data-Driven Approach—0
Interaction-Aware Trajectory Prediction and Planning for Autonomous Vehicles in Forced Merge Scenarios—0
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Benchmark Results

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