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 1201–1225 of 2605 papers

TitleStatusHype
In-Lab Implementation of DSRC PHY Layer—0
I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames—0
High-gain MIMO Beamforming Antenna System for DSRC and mmwave 5G Integration in Autonomous Vehicles—0
High Dynamic Range Modulo Imaging for Robust Object Detection in Autonomous Driving—0
CoopDETR: A Unified Cooperative Perception Framework for 3D Detection via Object Query—0
Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies—0
Imitative Planning using Conditional Normalizing Flow—0
Impact Analysis of Inference Time Attack of Perception Sensors on Autonomous Vehicles—0
Impact of Different Desired Velocity Profiles and Controller Gains on Convoy Driveability of Cooperative Adaptive Cruise Control Operated Platoons—0
Impact of Disturbances on Mixed Traffic Control with Autonomous Vehicles—0
Hierarchical Road Topology Learning for Urban Map-less Driving—0
Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation—0
Coverage Path Planning for Thermal Interface Materials—0
Important Object Identification with Semi-Supervised Learning for Autonomous Driving—0
Improved Generalizability of CNN Based Lane Detection in Challenging Weather Using Adaptive Preprocessing Parameter Tuning—0
Improved LiDAR Odometry and Mapping using Deep Semantic Segmentation and Novel Outliers Detection—0
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning—0
Improvements of Motion Estimation and Coding using Neural Networks—0
Convolutions for Spatial Interaction Modeling—0
epBRM: Improving a Quality of 3D Object Detection using End Point Box Regression Module—0
Improving benchmarks for autonomous vehicles testing using synthetically generated images—0
Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces—0
Improving Efficiency of DNN-based Relocalization Module for Autonomous Driving with Server-side Computing—0
Improving Freeway Merging Efficiency via Flow-Level Coordination of Connected and Autonomous Vehicles—0
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles—0
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Benchmark Results

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