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 901–910 of 2605 papers

TitleStatusHype
A Superalignment Framework in Autonomous Driving with Large Language Models—0
TR2MTL: LLM based framework for Metric Temporal Logic Formalization of Traffic Rules—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
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
Adversarial 3D Virtual Patches using Integrated Gradients—0
Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors—0
Show:102550
← PrevPage 91 of 261Next →

Benchmark Results

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