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

Showing 10011025 of 2605 papers

TitleStatusHype
A Unified Toll Lane Framework for Autonomous and High-Occupancy Vehicles in Interactive Mixed Autonomy0
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap0
M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving0
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving0
Diffusion-Based Environment-Aware Trajectory Prediction0
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making0
Agent-Agnostic Centralized Training for Decentralized Multi-Agent Cooperative DrivingCode0
Integration of 5G and Motion Sensors for Vehicular Positioning: A Loosely-Coupled Approach0
P-MapNet: Far-seeing Map Generator Enhanced by both SDMap and HDMap Priors0
Belief Aided Navigation using Bayesian Reinforcement Learning for Avoiding Humans in Blind SpotsCode0
Are you a robot? Detecting Autonomous Vehicles from Behavior Analysis0
Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI0
Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models0
Optimized Detection and Classification on GTRSB: Advancing Traffic Sign Recognition with Convolutional Neural Networks0
Unleashing the True Power of Age-of-Information: Service Aggregation in Connected and Autonomous Vehicles0
MergeOcc: Bridge the Domain Gap between Different LiDARs for Robust Occupancy Prediction0
Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic ViolationsCode0
Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution0
People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AICode0
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach0
Towards learning-based planning:The nuPlan benchmark for real-world autonomous driving0
Generalizing Cooperative Eco-driving via Multi-residual Task Learning0
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator0
A Multi-Task Oriented Semantic Communication Framework for Autonomous Vehicles0
Improved LiDAR Odometry and Mapping using Deep Semantic Segmentation and Novel Outliers Detection0
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Benchmark Results

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