On the BEYOND Expo 2023 in Macao, consultants from the autonomous driving sector gathered on Friday to debate the implementation part of autonomous driving. Liu Nianqiu, expertise associate and vp of DeepRoute.ai, Mark Xu, co-partner and normal supervisor of the Clever Driving Business at RoboSense, Xu Hu, chief scientist, CiDi, and Wei Lei, founder and CEO of BUS ME, shared their insights on the journey from the demo part to the productization part of clever autos.
Sui JianFeng, govt vice director at ADIRC, govt deputy normal supervisor at Tusstar, and CEO of Tusholdings (GBA) moderated the panel.
The 4 audio system divided clever driving situations into two primary classes: these involving robotaxis and robobuses. Xu expressed confidence in RoboSense’s skill to implement each forms of automated driving expertise and cut back automated driving takeover in city areas by way of protected expertise. Wei Lei identified that the expertise for robotaxis in cities will probably be extra complicated and require larger expertise requirements.
Mark Xu additionally predicted that the idea of automated driving will achieve momentum both this 12 months or the subsequent 12 months. He mentioned he thought that full self-driving options will expertise large-scale progress, although admitted that client acceptance is a crucial issue.
Liu Nianqiu urged that one path towards the expertise changing into extra broadly accepted lay in pursuing alternatives for {hardware} and software program collaborations. He cited the instance of RoboSense’s strategic partnership with DeepRoute.ai, which goals to advertise the mass manufacturing of L4-level autonomous driving options. The 2 firms will deal with growing an L4 autonomous driving resolution that integrates RoboSense’s clever solid-state lidar system with exact, complete 3D environmental notion capabilities. By leveraging their respective technological benefits and trade assets, they goal to empower robotaxis with extra superior and clever autonomous driving options, enabling extra shoppers to take pleasure in safer and extra clever journey experiences, Liu mentioned.
In keeping with Xu Hu and Wei Lei, there may be nice potential for the appliance of autonomous driving in numerous industries and situations, together with low-speed logistics, industrial logistics, mining websites, and different closed-road industries reminiscent of industrial parks. In these closed environments, the structured description of autonomous driving is comparatively clear and there may be much less potential interference, significantly from human components.
Xu Hu talked about that CiDi has built-in BeiDou high-precision positioning expertise into revolutionary functions in digital transportation and autonomous driving fields, reaching unmanned transportation in mining areas and industrial parks. As well as, Dongfeng Liuqi and CiDi have collectively developed the Liuqi H5 clever logistics car, an clever electrical truck designed for mass manufacturing and utilized in situations reminiscent of manufacturing facility logistics and park transportation, assembly the calls for of multi-scene functions. The car has a number of features reminiscent of V2X vehicle-road coordination, 5G distant parallel driving, and cloud clever scheduling, which successfully cut back site visitors security dangers and enhance logistics transportation effectivity.
In keeping with Wei Lei, the present challenges associated to expertise, coverage, and value, make it tough for robotaxis to land, and it’ll nonetheless take a very long time for the autos to turn into scalable. He argued that the touchdown of robobuses could be a lot sooner. Baishimei, an necessary promoter of robobuses, is a non-public journey firm that gives automated driving options for short-distance journey wants from city subways to communities, universities, and parks, emphasizing operational capabilities utilizing clever sightseeing autos fairly than customary buses. Baishimei plans to launch L4 autonomous driving sooner or later. As early as September 27, 2021, Baishimei introduced the completion of its first industrial order and accomplished 25,000 paid orders in simply two months.
Sui Jianfeng additionally highlighted a protracted highway forward, saying that, “the trail from demo to mass manufacturing of autonomous driving not solely includes the expertise itself, but in addition important components reminiscent of value, security, software situations, and client expertise. Due to this fact, it will be important for all entrepreneurs to collectively promote the event of this trade.”
