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 551–575 of 2605 papers

TitleStatusHype
Redefining Automotive Radar Imaging: A Domain-Informed 1D Deep Learning Approach for High-Resolution and Efficient Performance—0
TR2MTL: LLM based framework for Metric Temporal Logic Formalization of Traffic Rules—0
A Superalignment Framework in Autonomous Driving with Large Language Models—0
Monocular Localization with Semantics Map for Autonomous Vehicles—0
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model—0
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of VehiclesCode2
Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models—0
FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality—0
DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social ExperiencesCode2
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
Safe Multi-agent Reinforcement Learning with Natural Language Constraints—0
A Structure-Aware Lane Graph Transformer Model for Vehicle Trajectory Prediction—0
A new platooning model for connected and autonomous vehicles to improve string stability—0
Real-Time Environment Condition Classification for Autonomous VehiclesCode1
MULi-Ev: Maintaining Unperturbed LiDAR-Event Calibration—0
DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam VideosCode2
Collective Perception Datasets for Autonomous Driving: A Comprehensive Review—0
Improving 3D Occupancy Prediction through Class-balancing Loss and Multi-scale Representation—0
GroundGrid:LiDAR Point Cloud Ground Segmentation and Terrain EstimationCode3
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention—0
Coverage Path Planning for Thermal Interface Materials—0
ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous VehiclesCode2
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Benchmark Results

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