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

Showing 626650 of 2605 papers

TitleStatusHype
CloudFort: Enhancing Robustness of 3D Point Cloud Classification Against Backdoor Attacks via Spatial Partitioning and Ensemble Prediction0
Collaborative Perception Datasets in Autonomous Driving: A Survey0
On-board classification of underwater images using hybrid classical-quantum CNN based method0
How Real Is Real? A Human Evaluation Framework for Unrestricted Adversarial Examples0
Learning a Stable, Safe, Distributed Feedback Controller for a Heterogeneous Platoon of Autonomous Vehicles0
An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles0
Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-DistillationCode1
S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles0
Developing Situational Awareness for Joint Action with Autonomous Vehicles0
How to deal with glare for improved perception of Autonomous Vehicles0
VBR: A Vision Benchmark in RomeCode2
Characterization and Mitigation of Insufficiencies in Automated Driving Systems0
Characterizing Soft-Error Resiliency in Arm's Ethos-U55 Embedded Machine Learning Accelerator0
Benefits of V2V communication in connected and autonomous vehicles in the presence of delays in communicated signals0
Voice-Assisted Real-Time Traffic Sign Recognition System Using Convolutional Neural Network0
Depth Estimation using Weighted-loss and Transfer Learning0
Enhanced Cooperative Perception for Autonomous Vehicles Using Imperfect Communication0
Incorporating Explanations into Human-Machine Interfaces for Trust and Situation Awareness in Autonomous Vehicles0
Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven VehiclesCode1
Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks0
RoadBEV: Road Surface Reconstruction in Bird's Eye ViewCode3
Label-Efficient 3D Object Detection For Road-Side Units0
Incremental Joint Learning of Depth, Pose and Implicit Scene Representation on Monocular Camera in Large-scale Scenes0
The Open Autonomy Safety Case Framework0
NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization0
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Benchmark Results

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