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 901–950 of 2605 papers

TitleStatusHype
TR2MTL: LLM based framework for Metric Temporal Logic Formalization of Traffic Rules—0
A Superalignment Framework in Autonomous Driving with Large Language Models—0
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model—0
Monocular Localization with Semantics Map for Autonomous Vehicles—0
FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality—0
Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models—0
Extending Structural Causal Models for Autonomous Vehicles to Simplify Temporal System Construction & Enable Dynamic Interactions Between AgentsCode0
A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving—0
Adversarial 3D Virtual Patches using Integrated Gradients—0
Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors—0
A Structure-Aware Lane Graph Transformer Model for Vehicle Trajectory Prediction—0
Safe Multi-agent Reinforcement Learning with Natural Language Constraints—0
A new platooning model for connected and autonomous vehicles to improve string stability—0
MULi-Ev: Maintaining Unperturbed LiDAR-Event Calibration—0
Collective Perception Datasets for Autonomous Driving: A Comprehensive Review—0
Improving 3D Occupancy Prediction through Class-balancing Loss and Multi-scale Representation—0
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention—0
HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model—0
Coverage Path Planning for Thermal Interface Materials—0
Mutual Information Analysis in Multimodal Learning Systems—0
Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks—0
Incorporating ESO into Deep Koopman Operator Modelling for Control of Autonomous Vehicles—0
Deep Koopman Operator-Informed Safety Command Governor for Autonomous Vehicles—0
*: Improving the 3D detector by introducing Voxel2Pillar feature encoding and extracting multi-scale features—0
Analyzing and Enhancing Queue Sampling for Energy-Efficient Remote Control of Bandits—0
A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement LearningCode0
GPS-IMU Sensor Fusion for Reliable Autonomous Vehicle Position Estimation—0
Edge Computing for IoT: Novel Insights from a Comparative Analysis of Access Control Models—0
Fairness in Reinforcement Learning: A Survey—0
Switched Vector Field-based Guidance for General Reference Path Following in Planar Environment—0
Autonomous Driving with a Deep Dual-Model Solution for Steering and Braking Control—0
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data—0
GraphRelate3D: Context-Dependent 3D Object Detection with Inter-Object Relationship Graphs—0
Shaping the Future of Urban Mobility: Insights into Autonomous Vehicle Acceptance in Shanghai Through TAM and Perceived Risk Analysis—0
Novel Actor-Critic Algorithm for Robust Decision Making of CAV under Delays and Loss of V2X Data—0
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters—0
Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar—0
How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs—0
Performance Evaluation of Real-Time Object Detection for Electric ScootersCode0
Systematic Review: Anomaly Detection in Connected and Autonomous Vehicles—0
Dyna-Style Learning with A Macroscopic Model for Vehicle Platooning in Mixed-Autonomy Traffic—0
ScenicNL: Generating Probabilistic Scenario Programs from Natural Language—0
Obstacle Avoidance of Autonomous Vehicles: An LPVMPC with Scheduling Trust Region—0
Rare Collision Risk Estimation of Autonomous Vehicles with Multi-Agent Situation Awareness—0
ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under UncertaintiesCode0
Assessing the safety benefits of CACC+ based coordination of connected and autonomous vehicle platoons in emergency braking scenarios—0
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty QuantificationCode0
Leveraging PointNet and PointNet++ for Lyft Point Cloud Classification Challenge—0
Self-training superconducting neuromorphic circuits using reinforcement learning rules—0
Revolutionizing Traffic Sign Recognition: Unveiling the Potential of Vision Transformers—0
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Benchmark Results

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