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 551–560 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
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
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
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Benchmark Results

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