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 1451–1500 of 2605 papers

TitleStatusHype
Context-Aware Target Classification with Hybrid Gaussian Process prediction for Cooperative Vehicle Safety systems—0
Peek into the Future Camera-based Occupant Sensing in Configurable Cabins for Autonomous Vehicles—0
Driving Style Recognition at First Impression for Online Trajectory Prediction—0
Uncertainty in Real-Time Semantic Segmentation on Embedded SystemsCode0
Fake it, Mix it, Segment it: Bridging the Domain Gap Between Lidar Sensors—0
Cognitive Level-k Meta-Learning for Safe and Pedestrian-Aware Autonomous Driving—0
An Energy-aware and Fault-tolerant Deep Reinforcement Learning based approach for Multi-agent Patrolling Problems—0
Predicting Autonomous Vehicle Collision Injury Severity Levels for Ethical Decision Making and Path Planning—0
Spatial-Temporal Anomaly Detection for Sensor Attacks in Autonomous Vehicles—0
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving—0
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles—0
Decentralized cooperative perception for autonomous vehicles: Learning to value the unknown—0
What is the Best Way to Optimally Parameterize the MPC Cost Function for Vehicle Guidance?—0
No driver, No Regulation? --Online Legal Driving Behavior Monitoring for Self-driving VehiclesCode0
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula—0
Efficient Adversarial Input Generation via Neural Net Patching—0
An Integrated Ride-Matching Model for Shared Mobility on Demand Services—0
Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning—0
Multiagent Reinforcement Learning for Autonomous Routing and Pickup Problem with Adaptation to Variable Demand—0
SteppingNet: A Stepping Neural Network with Incremental Accuracy Enhancement—0
Far3Det: Towards Far-Field 3D Detection—0
Benchmarking Adversarially Robust Quantum Machine Learning at Scale—0
UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes—0
LoopDA: Constructing Self-loops to Adapt Nighttime Semantic SegmentationCode0
CoPEM: Cooperative Perception Error Models for Autonomous Driving—0
A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective—0
Multi-Camera Multi-Object Tracking on the Move via Single-Stage Global Association Approach—0
PAI3D: Painting Adaptive Instance-Prior for 3D Object Detection—0
LAPTNet: LiDAR-Aided Perspective Transform Network—0
Economic Potential for Hybrid Electric Vehicles in Urban Signal-free Intersections with Decentralized MPC—0
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios—0
ShaSTA: Modeling Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking—0
A Data-Driven Slip Estimation Approach for Effective Braking Control under Varying Road Conditions—0
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving—0
Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts—0
Plausibility Verification For 3D Object Detectors Using Energy-Based Optimization—0
Generating Clear Images From Images With Distortions Caused by Adverse Weather Using Generative Adversarial Networks—0
Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputsCode0
Optimization based coordination of autonomous vehicles in confined areas—0
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models—0
Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception—0
RT-MOT: Confidence-Aware Real-Time Scheduling Framework for Multi-Object Tracking Tasks—0
RLM-Tracking: Online Multi-Pedestrian Tracking Supported by Relative Location Mapping—0
A Robust Pedestrian Detection Approach for Autonomous Vehicles—0
Exiting the Simulation: The Road to Robust and Resilient Autonomous Vehicles at Scale—0
Large-Scale Bandwidth and Power Optimization for Multi-Modal Edge Intelligence Autonomous Driving—0
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving—0
An Ontology-based Method to Identify Triggering Conditions for Perception Insufficiency of Autonomous Vehicles—0
Survey of Deep Learning for Autonomous Surface Vehicles in the Marine Environment—0
Towards More Efficient Shared Autonomous Mobility: A Learning-Based Fleet Repositioning Approach—0
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Benchmark Results

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