Autonomous Driving Edit

239 papers with code · Computer Vision

Autonomous driving is the task of driving a vehicle 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.

You can find evaluation results in the subtasks. You can also submitting evaluation metrics for this task.

Traffic Control Gesture Recognition for Autonomous Vehicles

31 Jul 2020againerju/tcg_recognition

A car driver knows how to react on the gestures of the traffic officers.

0
31 Jul 2020

Robust Ego and Object 6-DoF Motion Estimation and Tracking

28 Jul 2020halajun/vdo_slam

The problem of tracking self-motion as well as motion of objects in the scene using information from a camera is known as multi-body visual odometry and is a challenging task.

99
28 Jul 2020

Polylidar3D -- Fast Polygon Extraction from 3D Data

23 Jul 2020JeremyBYU/polylidar

The Polylidar3D front-end transforms input data into a half-edge triangular mesh.

79
23 Jul 2020

CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending

23 Jul 2020xbjxh/CurveLanes

In this paper, we propose a novel lane-sensitive architecture search framework named CurveLane-NAS to automatically capture both long-ranged coherent and accurate short-range curve information while unifying both architecture search and post-processing on curve lane predictions via point blending.

7
23 Jul 2020

Pillar-based Object Detection for Autonomous Driving

20 Jul 2020WangYueFt/pillar-od

We present a simple and flexible object detection framework optimized for autonomous driving.

36
20 Jul 2020

DVI: Depth Guided Video Inpainting for Autonomous Driving

17 Jul 2020ApolloScapeAuto/dataset-api

To get clear street-view and photo-realistic simulation in autonomous driving, we present an automatic video inpainting algorithm that can remove traffic agents from videos and synthesize missing regions with the guidance of depth/point cloud.

194
17 Jul 2020

Probabilistic Jacobian-based Saliency Maps Attacks

12 Jul 2020probabilistic-jsma/probabilistic-jsma

For instance, on LeNet-5 (with $100\%$ and $99. 49\%$ accuracies on the training and test sets), WJSMA and TJSMA respectively exceed $97\%$ and $98. 60\%$ in success rate for a maximum authorised distortion of $14. 5\%$, outperforming JSMA with more than $9. 5$ and $11$ percentage points.

0
12 Jul 2020

Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving

To address driving in near-accident scenarios, we propose a hierarchical reinforcement and imitation learning (H-ReIL) approach that consists of low-level policies learned by IL for discrete driving modes, and a high-level policy learned by RL that switches between different driving modes.

19
01 Jul 2020

Online Domain Adaptation for Occupancy Mapping

Further, with the use of high-fidelity driving simulators and real-world datasets, we demonstrate how parameters of 2D and 3D occupancy maps can be automatically adapted to accord with local spatial changes.

10
01 Jul 2020