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 901–925 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
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
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
Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors—0
Adversarial 3D Virtual Patches using Integrated Gradients—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
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
Coverage Path Planning for Thermal Interface Materials—0
HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model—0
Mutual Information Analysis in Multimodal Learning Systems—0
Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks—0
*: Improving the 3D detector by introducing Voxel2Pillar feature encoding and extracting multi-scale features—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
Analyzing and Enhancing Queue Sampling for Energy-Efficient Remote Control of Bandits—0
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Benchmark Results

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