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 1001–1050 of 2605 papers

TitleStatusHype
Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon—0
Finetuning Pre-trained Model with Limited Data for LiDAR-based 3D Object Detection by Bridging Domain Gaps—0
Finite Time Exact Quantized Average Consensus with Limited Resources and Transmission Stopping for Energy-Aware Networks—0
SL1-Simplex: Safe Velocity Regulation of Self-Driving Vehicles in Dynamic and Unforeseen Environments—0
Finite-Time Stabilization of Longitudinal Control for Autonomous Vehicles via a Model-Free Approach—0
CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles—0
First qualitative observations on deep learning vision model YOLO and DETR for automated driving in Austria—0
Decision Making for Autonomous Vehicles—0
Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions—0
Flexible MPC-based Conflict Resolution Using Online Adaptive ADMM—0
aUToLights: A Robust Multi-Camera Traffic Light Detection and Tracking System—0
Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning—0
Decentralized Vehicle Coordination and Lane Switching without Switching of Controllers—0
Flow-level Coordination of Connected and Autonomous Vehicles in Multilane Freeway Ramp Merging Areas—0
FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks—0
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs—0
FluidML: Fast and Memory Efficient Inference Optimization—0
FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition—0
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving—0
Affordance Learning In Direct Perception for Autonomous Driving—0
Coherent, super resolved radar beamforming using self-supervised learning—0
A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing—0
Cross-cultural analysis of pedestrian group behaviour influence on crossing decisions in interactions with autonomous vehicles—0
Decentralized Semantic Traffic Control in AVs Using RL and DQN for Dynamic Roadblocks—0
Decentralized Optimization of Vehicle Route Planning -- A Cross-City Comparative Study—0
AUTHENTICATION: Identifying Rare Failure Modes in Autonomous Vehicle Perception Systems using Adversarially Guided Diffusion Models—0
Decentralized cooperative perception for autonomous vehicles: Learning to value the unknown—0
DDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles—0
A Unified Toll Lane Framework for Autonomous and High-Occupancy Vehicles in Interactive Mixed Autonomy—0
A Learning-based approach for bias elimination in low cost gyroscopes—0
Lane Change Intention Recognition and Vehicle Status Prediction for Autonomous Vehicles—0
Augmenting End-to-End Steering Angle Prediction with CAN Bus Data—0
Data generation using simulation technology to improve perception mechanism of autonomous vehicles—0
Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection—0
ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition—0
Adaptive Optimization of Autonomous Vehicle Computational Resources for Performance and Energy Improvement—0
Geometry aware convolutional filters for omnidirectional images representation—0
GERA: Geometric Embedding for Efficient Point Registration Analysis—0
Global Feature Aggregation for Accident Anticipation—0
Data-driven Traffic Simulation: A Comprehensive Review—0
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks—0
A Lane Merge Coordination Model for a V2X Scenario—0
Data-Driven Predictive Control for Connected and Autonomous Vehicles in Mixed Traffic—0
Data-Driven Multi-step Demand Prediction for Ride-hailing Services Using Convolutional Neural Network—0
Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms—0
Generative Diffusion-based Contract Design for Efficient AI Twins Migration in Vehicular Embodied AI Networks—0
AI Safety vs. AI Security: Demystifying the Distinction and Boundaries—0
Audiovisual Affect Assessment and Autonomous Automobiles: Applications—0
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior—0
DAP-LED: Learning Degradation-Aware Priors with CLIP for Joint Low-light Enhancement and Deblurring—0
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Benchmark Results

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