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 1951–1975 of 2605 papers

TitleStatusHype
Non-Linear Estimation using the Weighted Average Consensus-Based Unscented Filtering for Various Vehicles Dynamics towards Autonomous Sensorless Design—0
Non-line-of-sight Imaging with Partial Occluders and Surface Normals—0
Novel Actor-Critic Algorithm for Robust Decision Making of CAV under Delays and Loss of V2X Data—0
NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds—0
NVAutoNet: Fast and Accurate 360^ 3D Visual Perception For Self Driving—0
NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving—0
Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix—0
Object Detection in Autonomous Vehicles: Status and Open Challenges—0
Object Detection Under Rainy Conditions for Autonomous Vehicles: A Review of State-of-the-Art and Emerging Techniques—0
ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data—0
Object Removal Attacks on LiDAR-based 3D Object Detectors—0
Object Scene Flow for Autonomous Vehicles—0
Object Tracking in a 360^o View: A Novel Perspective on Bridging the Gap to Biomedical Advancements—0
Object Viewpoint Classification Based 3D Bounding Box Estimation for Autonomous Vehicles—0
Observability of the relative motion from inertial data in kinematic chains—0
Obstacle Avoidance of Autonomous Vehicles: An LPVMPC with Scheduling Trust Region—0
OccupancyDETR: Using DETR for Mixed Dense-sparse 3D Occupancy Prediction—0
Offline Reinforcement Learning using Human-Aligned Reward Labeling for Autonomous Emergency Braking in Occluded Pedestrian Crossing—0
Off-road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on Deep Inverse Reinforcement Learning—0
On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator—0
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods—0
On-board classification of underwater images using hybrid classical-quantum CNN based method—0
On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation—0
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation—0
One-Shot Learning of Visual Path Navigation for Autonomous Vehicles—0
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Benchmark Results

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